Reliable Template Matching for Image Detection in Vision Sensor Systems

Template matching is a simple image detection algorithm that can easily detect different types of objects just by changing the template without tedious training procedures. Despite these advantages, template matching is not currently widely used. This is because traditional template matching is not very reliable for images that differ from the template. The reliability of template matching can be improved by using additional information (depths for the template) available from the vision sensor system. Methods of obtaining the depth of a template using stereo vision or a few (two or more) template images or a short template video via mono vision are well known in the vision literature and have been commercialized. In this strategy, this paper proposes a template matching vision sensor system that can easily detect various types of objects without prior training. To this end, by using the additional information provided by the vision sensor system, we study a method to increase the reliability of template matching, even when there is a difference in the 3D direction and size between the template and the image. Template images obtained through the vision sensor provide a depth template. Using this depth template, it is possible to predict the change of the image according to the difference in the 3D direction and the size of the object. Using the predicted changes in these images, the template is calibrated close to the given image, and then template matching is performed. For ease of use, the algorithm is proposed as a closed form solution that avoids tedious recursion or training processes. For wider application and more accurate results, the proposed method considers the 3D direction and size difference in the perspective projection model and the general 3D rotation model.

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Research on Image Detection Algorithm Based on Improved Retinanet

2020 The 4th International Conference on Video and Image Processing ◽

10.1145/3447450.3447454 ◽

2020 ◽

Author(s):

Wenxian Zeng ◽

Shuqing Zhang ◽

Yue Zhang ◽

Yue Ma

Keyword(s):

Detection Algorithm ◽

Image Detection

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Discrimination of Milks with a Multisensor System Based on Layer-by-Layer Films

Sensors ◽

10.3390/s18082716 ◽

2018 ◽

Vol 18 (8) ◽

pp. 2716 ◽

Cited By ~ 8

Author(s):

Coral Salvo-Comino ◽

Celia García-Hernández ◽

Cristina García-Cabezón ◽

Maria Rodríguez-Méndez

Keyword(s):

Copper Phthalocyanine ◽

Electronic Tongue ◽

Principal Component ◽

Sensor System ◽

Galactose Oxidase ◽

Milk Analysis ◽

Layer By Layer ◽

Additional Information ◽

Milk Samples ◽

Calibration Models

A nanostructured electrochemical bi-sensor system for the analysis of milks has been developed using the layer-by-layer technique. The non-enzymatic sensor [CHI+IL/CuPcS]2, is a layered material containing a negative film of the anionic sulfonated copper phthalocyanine (CuPcS) acting as electrocatalytic material, and a cationic layer containing a mixture of an ionic liquid (IL) (1-butyl-3-methylimidazolium tetrafluoroborate) that enhances the conductivity, and chitosan (CHI), that facilitates the enzyme immobilization. The biosensor ([CHI+IL/CuPcS]2-GAO) results from the immobilization of galactose oxidase on the top of the LbL layers. FTIR, UV–vis, and AFM have confirmed the proposed structure and cyclic voltammetry has demonstrated the amplification caused by the combination of materials in the film. Sensors have been combined to form an electronic tongue for milk analysis. Principal component analysis has revealed the ability of the sensor system to discriminate between milk samples with different lactose content. Using a PLS-1 calibration models, correlations have been found between the voltammetric signals and chemical parameters measured by classical methods. PLS-1 models provide excellent correlations with lactose content. Additional information about other components, such as fats, proteins, and acidity, can also be obtained. The method developed is simple, and the short response time permits its use in assaying milk samples online.

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Welding seam recognition and tracking for a novel mobile welding robot based on multi-layer sensing strategy

Measurement Science and Technology ◽

10.1088/1361-6501/ac3d06 ◽

2021 ◽

Author(s):

Chao Liu ◽

Hui Wang ◽

Yu Huang ◽

Youmin Rong ◽

Jie Meng ◽

...

Keyword(s):

Seam Tracking ◽

Sensor System ◽

Vision Sensor ◽

Welding Robot ◽

Welding Seam ◽

Localization And Mapping ◽

Laser Vision Sensor ◽

Tracking Ability ◽

Mobile Welding Robot ◽

Laser Vision

Abstract Mobile welding robot with adaptive seam tracking ability can greatly improve the welding efficiency and quality, which has been extensively studied. To further improve the automation in multiple station welding, a novel intelligent mobile welding robot consists of a four-wheeled mobile platform and a collaborative manipulator is developed. Under the support of simultaneous localization and mapping (SLAM) technology, the robot is capable of automatically navigating to different stations to perform welding operation. To automatically detect the welding seam, a composite sensor system including an RGB-D camera and a laser vision sensor is creatively applied. Based on the sensor system, the multi-layer sensing strategy is performed to ensure the welding seam can be detected and tracked with high precision. By applying hybrid filter to the RGB-D camera measurement, the initial welding seam could be effectively extracted. Then a novel welding start point detection method is proposed. Meanwhile, to guarantee the tracking quality, a robust welding seam tracking algorithm based on laser vision sensor is presented to eliminate the tracking discrepancy caused by the platform parking error, through which the tracking trajectory can be corrected in real-time. The experimental results show that the robot can autonomously detect and track the welding seam effectively in different station. Also, the multiple station welding efficiency can be improved and quality can also be guaranteed.

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New Telerehabilitation Services for the Elderly

Handbook of Research on ICTs and Management Systems for Improving Efficiency in Healthcare and Social Care ◽

10.4018/978-1-4666-3990-4.ch006 ◽

2013 ◽

pp. 109-132 ◽

Cited By ~ 8

Author(s):

António Teixeira ◽

Carlos Pereira ◽

Miguel Oliveira e Silva ◽

Joaquim Alvarelhão ◽

Anabela G. Silva ◽

...

Keyword(s):

Older People ◽

User Interfaces ◽

Multimodal Interaction ◽

The Elderly ◽

Ease Of Use ◽

Preliminary Evaluation ◽

Age Group ◽

Additional Information ◽

Age Related ◽

First Results

The world’s population is getting older with the percentage of people over 60 increasing more rapidly than any other age group. Telerehabilitation may help minimise the pressure this puts on the traditional healthcare system, but recent studies showed ease of use, usability, and accessibility as unsolved problems, especially for older people who may have little experience or confidence in using technology. Current migration towards multimodal interaction has benefits for seniors, allowing hearing and vision problems to be addressed by exploring redundancy and complementarity of modalities. This chapter presents and contextualizes work in progress in a new telerehabilitation service targeting the combined needs of the elderly to have professionally monitored exercises without leaving their homes with their need regarding interaction, directly related to age-related effects on, for example, vision, hearing, and cognitive capabilities. After a brief general overview of the service, additional information on its two supporting applications are presented, including information on user interfaces. First results from a preliminary evaluation are also included.

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Scale Invariant Feature Transform Descriptor Robustness Analysis to Brightness Changes of Robowaiter Vision Sensor System

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/662/5/052004 ◽

2019 ◽

Vol 662 ◽

pp. 052004

Author(s):

T N Nizar ◽

S Supatmi ◽

E P Putro

Keyword(s):

Robustness Analysis ◽

Sensor System ◽

Scale Invariant Feature Transform ◽

Vision Sensor ◽

Scale Invariant ◽

Invariant Feature ◽

Feature Transform ◽

Scale Invariant Feature

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Low Resource Complexity R-peak Detection Based on Triangle Template Matching and Moving Average Filter

Sensors ◽

10.3390/s19183997 ◽

2019 ◽

Vol 19 (18) ◽

pp. 3997 ◽

Cited By ~ 2

Author(s):

Tam Nguyen ◽

Xiaoli Qin ◽

Anh Dinh ◽

Francis Bui

Keyword(s):

Template Matching ◽

Moving Average ◽

Detection Algorithm ◽

Peak Detection ◽

Moving Average Filter ◽

Ecg Signals ◽

Low Resource ◽

Peak Detection Algorithm ◽

Robustness To Noise ◽

Average Filter

A novel R-peak detection algorithm suitable for wearable electrocardiogram (ECG) devices is proposed with four objectives: robustness to noise, low latency processing, low resource complexity, and automatic tuning of parameters. The approach is a two-pronged algorithm comprising (1) triangle template matching to accentuate the slope information of the R-peaks and (2) a single moving average filter to define a dynamic threshold for peak detection. The proposed algorithm was validated on eight ECG public databases. The obtained results not only presented good accuracy, but also low resource complexity, all of which show great potential for detection R-peaks in ECG signals collected from wearable devices.

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Visual Sensing System for Thin Plate Welding Based on Rotund Facular Laser

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.538-541.1498 ◽

2012 ◽

Vol 538-541 ◽

pp. 1498-1501

Author(s):

Wang Ping Gu ◽

Zhen Yu Xiong ◽

Pin Liu

Keyword(s):

Thin Plate ◽

Visual Image ◽

Sensor System ◽

Vision Sensor ◽

Butt Welding ◽

Vision Sensing ◽

Sensing System ◽

Visual Sensing ◽

Processing Software ◽

Image Processing Software

In order to solve the problem of thin plate butt-welded tracking, a welding vision sensing system with a rotund facular laser has been designed. In the vision sense system, each parameter of the interior part has been designed by a variety of experiments. The designed image processing software can precisely identify the position of the joint, based on the optimal designed vision sensor system. The thin plate butt welding experiments have been taken with the designed sensing device. The experimental results show that the vision sensor system with a suitable auxiliary illuminant can obtain satisfying visual image information in stainless thin plate butt-welded.

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