scholarly journals Use of Digital Video Cameras to Determine the Efficacy of Two Trap Types for Capturing Rhynchophorus palmarum (Coleoptera: Curculionidae)

2020 ◽  
Vol 113 (6) ◽  
pp. 3028-3031
Author(s):  
Ivan Milosavljević ◽  
Christina D Hoddle ◽  
Agenor Mafra-Neto ◽  
Francesc Gómez-Marco ◽  
Mark S Hoddle
Keyword(s):  
Canary Islands ◽  
Digital Video ◽  
Video Data ◽  
Retention Rates ◽  
Digital Data ◽  
San Diego County ◽  
Diel Activity ◽  
Video Cameras ◽  
Phoenix Canariensis ◽  
Rhynchophorus Palmarum

Abstract The efficacies of two trap types, bucket and Picusan traps, for capturing and retaining Rhynchophorus palmarum (L.), an invasive palm pest responsible for killing thousands of ornamental Canary Islands date palms (Phoenix canariensis Chabaud [Arecales: Arecaceae]) in San Diego County, CA, were compared. Digital video data were analyzed to determine how R. palmarum behavior toward each trap type affected capture and retention rates. Videography was conducted 24 h/d, 7 d/wk, for more than 7 mo resulting in 20,211 h of digital data for analysis. Weevil attraction to traps was observed only during daylight hours and no patterns in diel activity were found. Neither trap type tested captured 100% of weevils attracted to traps. Bucket traps suspended 1.5 m above the ground attracted 30% more weevils than ground deployed Picusan traps. Of those weevils attracted to bucket traps, 89% entered, 82% escaped, and 18% that entered traps were retained. Weevils that were not retained spent an average of 19 min 20 s entering and exiting entry holes and walking and flying around the bucket trap. By contrast, Picusan traps captured 89% of weevils that entered the trap. The time between weevils arriving (via walking or flight) on the sides of the Picusan trap and retention in the trap ranged between 90 and 376 s. These visual observations suggest that Picusan traps are more efficient than bucket traps for R. palmarum capture.

Effects of Food Bait and Trap Type on Captures of Rhynchophorus palmarum (Coleoptera: Curculionidae) and Trap Bycatch in Southern California

2020 ◽  
Vol 113 (5) ◽  
pp. 2407-2417 ◽  
Author(s):  
Ivan Milosavljević ◽  
Christina D Hoddle ◽  
Agenor Mafra-Neto ◽  
Francesc Gómez-Marco ◽  
Mark S Hoddle
Keyword(s):  
Field Experiments ◽  
Water Solution ◽  
Carabid Beetles ◽  
San Diego County ◽  
Invasive Pest ◽  
Control Treatment ◽  
Phoenix Canariensis ◽  
Arthropod Species ◽  
Rhynchophorus Palmarum ◽  
Paraffinic Oil

Abstract Rhynchophorus palmarum (L.) is an invasive pest responsible for killing thousands of ornamental Canary Islands date palms (Phoenix canariensis Chabaud) in San Diego County, CA. Two field experiments were conducted to compare the attractiveness of six different baits and two trap types. The tested baits were dates + water; dates + water + Saccharomyces cerevisiae; dates + water + S. bayanus; dates + water + S. pastorianus; 15% sugarcane molasses water solution mixed with 3% paraffinic oil, and a no bait control treatment. The two traps tested were white bucket traps (hanging 1.5 m above the ground and set on the ground) and black cone shaped Picusan traps (set on ground only). All traps were loaded with commercially available R. palmarum aggregation pheromone and the synergist ethyl acetate. Differences in weevil capture rates were observed across bait and trap types. Weevil captures were almost five times greater in Picusan traps compared to bucket traps that were hanging or placed on the ground. Adding dates and water alone or combined with S. cerevisiae to traps increased weevil captures compared to other baits and controls. Trap and bait types affected bycatch of nontarget arthropod species. In general, spiders, earwigs, and carabid beetles were most commonly recovered from Picusan traps, regardless of bait type. Scarab beetles, moths, and flies were found more frequently in bucket traps baited with molasses or dates mixed with S. bayanus. No effects of bait and trap type were associated with bycatch species richness.

The Use of Streamed Digital Video Data and Binocular Stereoscopic Image System (BiSIS) Processing Methods to Analyze Ocean Wave Field Kinematics

2009 ◽  
Author(s):  
Keith R. MacHuchon ◽  
Wehan J. Wessels ◽  
Chin H. Wu ◽  
Paul C. Liu
Keyword(s):  
Wave Field ◽  
Digital Video ◽  
Image Data ◽  
Video Data ◽  
Ocean Wave ◽  
Stereoscopic Image ◽  
Laptop Computer ◽  
Image System ◽  
Processing Methods ◽  
Video Cameras

The kinematics of short crested steep and breaking waves in the ocean is a subject that is best studied spatially, in the time domain, to obtain a good understanding of the multi-directional spreading of energy, which is dependant on strongly non-linear wave interactions in the system. The paper will cover the collection, recording and processing of streamed sea surface image data, obtained simultaneously from multiple digital video cameras, for analysis using stereoscopic image processing methods to provide information on the kinematics of ocean wave fields. The data streaming architecture, which will be reviewed, incorporates an advanced laptop computer and two to three stand-alone digital video cameras which are all linked through a gigabit ethernet network connection with sufficient bandwidth to simultaneously transfer the image data from the cameras to hard drive storage. The modifications to the laptop computer comprise the provision of increased processing capacity to enable it to accept and process large IP frames simultaneously. The system has the capacity to continuously record images, at a rate of up to 60 frames per second, for periods of up to one hour. It includes an external triggering mechanism, which is synchronised to a micro-second, to ensure that stereo pairs of images are captured simultaneously. Calibration of the cameras, and their stereoscopic configuration, is a critical part of the overall process and we will discuss how ill-conditioned and singular matrices, which can prevent the determination of required intrinsic and extrinsic parameters, can be avoided. The paper will include examples of wave field image data which has been collected using streamed digital video data and Binocular Stereoscopic Image System (BiSIS) processing methods. It will also give examples digital video images and dimensional wave field data which has been collected and processed using the Automated Trinocular Stereoscopic Imaging Systems (ATSIS) methods. Both of these systems provide a valuable means of analysing irregular, non-linear, short crested waves, which leads to an improved understanding of ocean wave kinematics.

Output Feedback Sliding Mode Control for a Linear Focusing Actuator in Digital Video Cameras

2007 ◽  
Vol 43 (11) ◽  
pp. 4048-4050 ◽  
Author(s):  
Hsing-Cheng Yu ◽  
T. S. Liu
Keyword(s):  
Sliding Mode Control ◽  
Output Feedback ◽  
Digital Video ◽  
Sliding Mode ◽  
Video Cameras ◽  
Mode Control

New lining soundness survey in deep shafts utilizing digital video cameras

2014 ◽  
pp. 670-677
Author(s):  
Mitsugu Nomura ◽  
Kazuhiro Naotsuka
Keyword(s):  
Digital Video ◽  
Video Cameras

Phoretic mite infestations associated with Rhynchophorus palmarum (Coleoptera: Curculionidae) in southern California

2021 ◽  
Author(s):  
Francesc Gómez-marco ◽  
Hans Klompen ◽  
Mark Hoddle
Keyword(s):  
Species Composition ◽  
Invasion Biology ◽  
San Diego County ◽  
South American ◽  
Body Parts ◽  
Survey Period ◽  
Rhynchophorus Palmarum ◽  
The Usa ◽  
American Palm ◽  
Mite Infestations

The South American palm weevil, Rhynchophorus palmarum (Coleoptera: Curculionidae), established in San Diego County, California, USA sometime around 2014. Attached to the motile adults of this destructive palm pest, we identified three species of uropodine mites (Parasitiformes: Uropodina), Centrouropoda n. sp., Dinychus n. sp. and Fuscuropoda marginata. Two of these species, Centrouropoda n. sp. and Dinychus n. sp. are recorded for the first time in the USA and were likely introduced by R. palmarum. Several species of mites, primarily of Uropodina, have previously been recorded as phoretic on Rhynchophorus spp. In this study, we examined 3,035 adult R. palmarum trapped over a 2.5-year period, July 2016 to December 2018, and documented the presence of and species composition of phoretic mites and their relationship with weevil morphometrics (i.e., pronotum length and width). The presence and species composition of mites on weevil body parts changed over the survey period. No mites were found under weevil elytra in 2016 and mite prevalence under elytra increased over 2017–2018 due to an increased abundance of Centrouropoda n. sp per individual beetle. Mite occurrence levels were significantly correlated with reduced pronotum widths of male weevils only. The significance of this finding on male weevil fitness is unknown. Potential implications of phoretic mites on aspects of the invasion biology of R. palmarum are discussed.

Creating Video Vignettes to Enhance Urban Design Learning

2012 ◽  
Vol 3 (4) ◽  
pp. 123-134 ◽  
Author(s):  
Kevin Romig
Keyword(s):  
Best Practices ◽  
Digital Video ◽  
Video Editing ◽  
High Definition ◽  
Video Cameras ◽  
Photographic Images ◽  
The Past ◽  
Design Learning ◽  
Short Video ◽  
Video Vignettes

Most classroom instruction related to urban geography and design relies heavily on static photographic images that highlight form, but don’t necessarily engage the idea of function. Because of the relative ease of digital video editing and the portability of high-definition digital video cameras, using instructor-collected video in the classroom is less-demanding than in the past. This paper highlights how short video vignettes can better elucidate urban concepts and explains best practices in crafting educational objectives and professional video products.

scholarly journals Semi-Supervised Faster RCNN-Based Person Detection and Load Classification for Far Field Video Surveillance

2019 ◽  
Vol 1 (3) ◽  
pp. 756-767 ◽  
Author(s):  
Haoran Wei ◽  
Nasser Kehtarnavaz
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Transfer Learning ◽  
Video Data ◽  
Far Field ◽  
Neural Network Classifier ◽  
Computationally Efficient ◽  
Person Detection ◽  
Video Cameras ◽  
Processing Steps

This paper presents a semi-supervised faster region-based convolutional neural network (SF-RCNN) approach to detect persons and to classify the load carried by them in video data captured from distances several miles away via high-power lens video cameras. For detection, a set of computationally efficient image processing steps are considered to identify moving areas that may contain a person. These areas are then passed onto a faster RCNN classifier whose convolutional layers consist of ResNet50 transfer learning. Frame labels are obtained in a semi-supervised manner for the training of the faster RCNN classifier. For load classification, another convolutional neural network classifier whose convolutional layers consist of GoogleNet transfer learning is used to distinguish a person carrying a bundle from a person carrying a long arm. Despite the challenges associated with the video dataset examined in terms of the low resolution of persons, the presence of heat haze, and the shaking of the camera, it is shown that the developed approach outperforms the faster RCNN approach.

Digital video data archive for crash test systems

1997 ◽  
Author(s):  
Christian Hock
Keyword(s):  
Digital Video ◽  
Video Data ◽  
Crash Test ◽  
Data Archive ◽  
Test Systems

scholarly journals A Comparison between Video and Still Imagery as a Methodology to Determine Southern Hairy-Nosed Wombat (Lasiorhinus latifrons) Burrow Occupancy Rates

Animals ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. 186 ◽  
Author(s):  
Michael Swinbourne ◽  
David Taggart ◽  
Bertram Ostendorf
Keyword(s):  
Video Data ◽  
Invasive Monitoring ◽  
Monitoring Methods ◽  
Video Cameras ◽  
Non Invasive ◽  
Abundance Estimates ◽  
Infra Red ◽  
Proxy Measure ◽  
Occupancy Rates ◽  
Broad Scale

Broad-scale abundance estimates of the southern hairy-nosed wombat population use a proxy measure based on counting the number of active burrows, which is multiplied by an index of ‘wombats/active burrow’. However, the extant indices were calculated in the 1980s, prior to the use of calicivirus to control rabbits, and used invasive monitoring methods which may have affected the results. We hypothesise that the use of video might provide a logistically simple, non-invasive means of calculating updated indices. To this end, motion-activated, infra-red still and video cameras were placed at various distances outside active wombat burrows in the South Australian Murraylands and Eyre Peninsula regions. The captured imagery was inspected to determine how often the burrow was occupied by one or more wombats, and how effective the cameras were at detecting wombat activity. Video data was clearly superior to the still imagery, with more than twice as many burrow occupancies being positively identified (still: 43%). The indices of wombats/active burrow calculated based on video imagery were: Murraylands: 0.43, Eyre Peninsula: 0.42. 1948 false positive videos were recorded, of which 1674 (86%) occurred between noon and sunset.

Airborne Video Digital Data for Resource Analysis and Management in the Northeast

1988 ◽  
Vol 5 (2) ◽  
pp. 117-120
Author(s):  
Roger H. Greene
Keyword(s):  
Information System ◽  
Spatial Data ◽  
Aerial Photography ◽  
Value Of Information ◽  
Video Data ◽  
Digital Data ◽  
Forest Types ◽  
Digital Form ◽  
Resource Analysis ◽  
Data Bases

Abstract Airborne video data in digital form provides an inexpensive alternative to aerial photography to provide up-to-date information on the size, kinds, and distribution of forest types. Its capability to be incorporated into a geographic information system can augment the value of information produced during analysis. In Maine, Landmark Applied Technologies has developed and is using a system which includes acquiring the video imagery, extracting scenes in digital form, analyzing these data, and incorporating them into an Intergraph GIS to provide a mechanism for rapid updating of spatial data bases. North. J. Appl. For. 5:117-120, June 1988.

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