An Improved Method of Tracking and Counting Moving Objects Using Graph Cuts

2015 ◽  
pp. 583-590
Author(s):  
Mingjie Zhang ◽  
Baosheng Kang
Keyword(s):  
Moving Objects ◽  
Graph Cuts ◽  
Improved Method

scholarly journals An Improved Optical Flow Algorithm Based on Mask-R-CNN and K-Means for Velocity Calculation

2019 ◽  
Vol 9 (14) ◽  
pp. 2808 ◽  
Author(s):  
Yahui Peng ◽  
Xiaochen Liu ◽  
Chong Shen ◽  
Haoqian Huang ◽  
Donghua Zhao ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Optical Flow ◽  
Navigation System ◽  
Moving Objects ◽  
Harmful Effect ◽  
Improved Method ◽  
Vision Navigation ◽  
Vehicle Velocity ◽  
Flow Algorithm

Aiming at enhancing the accuracy and reliability of velocity calculation in vision navigation, an improved method is proposed in this paper. The method integrates Mask-R-CNN (Mask Region-based Convolutional Neural Network) and K-Means with the pyramid Lucas Kanade algorithm in order to reduce the harmful effect of moving objects on velocity calculation. Firstly, Mask-R-CNN is used to recognize the objects which have motions relative to the ground and covers them with masks to enhance the similarity between pixels and to reduce the impacts of the noisy moving pixels. Then, the pyramid Lucas Kanade algorithm is used to calculate the optical flow value. Finally, the value is clustered by the K-Means algorithm to abandon the outliers, and vehicle velocity is calculated by the processed optical flow. The prominent advantages of the proposed algorithm are (i) decreasing the bad impacts to velocity calculation, due to the objects which have relative motions; (ii) obtaining the correct optical flow sets and velocity calculation outputs with less fluctuation; and (iii) the applicability enhancement of the optical flow algorithm in complex navigation environment. The proposed algorithm is tested by actual experiments. Results with superior precision and reliability show the feasibility and effectiveness of the proposed method for vehicle velocity calculation in vision navigation system.

An Improved Method for Moving Objects Detection

2013 ◽  
Vol 7 (3) ◽  
pp. 208-214 ◽  
Author(s):  
Yongliang Xiao ◽  
Shaoping Zhu ◽  
Wenbin Liu ◽  
Bin Lv
Keyword(s):  
Moving Objects ◽  
Improved Method ◽  
Moving Objects Detection ◽  
Objects Detection

Research of Video Surveillance System Base on Face Recognition and Motion Detection

2011 ◽  
Vol 271-273 ◽  
pp. 961-966
Author(s):  
Da Guang Jiang ◽  
Jun Kai Yi ◽  
Gao Hui Bian
Keyword(s):  
Face Detection ◽  
Motion Detection ◽  
Surveillance System ◽  
Skin Color ◽  
Moving Objects ◽  
Image Sequence ◽  
Detection Algorithm ◽  
Improved Method ◽  
Face Area ◽  
Slow Moving

In this paper, by using skin-color feature, especial location and pixel features of eyes in face area, an efficient face detection algorithm was designed. After face detection, discrete cosine Transform (DCT) was used to extract a set of observation, which is provided to train and recognize faces in the way of Hidden Markov Model (HMM). In order to solve the shortcoming that traditional motion detection algorithm can not be used to detect slow moving objects from an image sequence, an improved method was proposed by rebuilding the background.

scholarly journals Moving Objects Tracking in Video by Graph Cuts and Parameter Motion Model

2012 ◽  
Vol 40 (10) ◽  
pp. 20-27 ◽  
Author(s):  
Khalid Housni ◽  
Driss Mammass ◽  
Youssef Chahir
Keyword(s):  
Moving Objects ◽  
Graph Cuts ◽  
Motion Model ◽  
Objects Tracking

The Application of Fast Moving Target Detection Technology in Hanger Intelligent Surveillance System

2011 ◽  
Vol 317-319 ◽  
pp. 919-924
Author(s):  
Wei Luo ◽  
Zhi Wei Li
Keyword(s):  
Surveillance System ◽  
Moving Objects ◽  
Median Filter ◽  
Threshold Value ◽  
Detection Methods ◽  
Improved Method ◽  
Intelligent Surveillance ◽  
Binary Images ◽  
Detection Technology ◽  
Difference Images

Several moving objects detection methods were compared and an improved method on the basis of consecutive frames difference was proposed. Color images captured with camera were transformed into gray ones and the gray ones were processed with median filter. The adjacent frames of any three consecutive ones were handled with differential operation to obtain two difference images and threshold value was set to transform difference images into binary ones. The binary images were dealt with by using opening operation. The location of moving aircraft was determined by performing two difference images with AND operation. The simulation results show that the improved method can effectively detect and locate the moving aircraft in intelligent surveillance system.

An Improved Method for the Preparation and TEM Examination of Sharp Pointed Tips used in APFIM and STM

1990 ◽  
Vol 48 (2) ◽  
pp. 102-103
Author(s):  
E.A. Fischione ◽  
P.E. Fischione ◽  
J.J. Haugh ◽  
M.G. Burke
Keyword(s):  
Atom Probe ◽  
Preparation Process ◽  
Improved Method ◽  
Ion Milling ◽  
Polishing Process ◽  
Probe Field ◽  
Scanning Tunnelling ◽  
Stm Tips ◽  
Tunnelling Microscopy ◽  
Ion Microscopy

A common requirement for both Atom Probe Field-Ion Microscopy (APFIM) and Scanning Tunnelling Microscopy (STM) is a sharp pointed tip for use as either the specimen (APFIM) or the probe (STM). Traditionally, tips have been prepared by either chemical or electropolishing techniques. Recently, ion-milling has been successfully employed in the production of APFIM tips [1]. Conventional electropolishing techniques are applicable to a wide variety of metals, but generally require careful manual adjustments during the polishing process and may also be time-consuming. In order to reduce the time and effort involved in the preparation process, a compact, self-contained polishing unit has been developed. This system is based upon the conventional two-stage electropolishing technique in which the specimen/tip blank is first locally thinned or “necked”, and subsequently electropolished until separation occurs.[2,3] The result of this process is the production of two APFIM or STM tips. A mechanized polishing unit that provides these functions while automatically maintaining alignment has been designed and developed.

Immunoelectron microscopic localization of elastic tissue in archival material using an improved method

1990 ◽  
Vol 48 (3) ◽  
pp. 794-795
Author(s):  
J. C. Fanning ◽  
J. F. White ◽  
R. Polewski ◽  
E. G. Cleary
Keyword(s):  
Normal Animal ◽  
Animal Tissue ◽  
Elastic Tissue ◽  
Human Tissues ◽  
Improved Method ◽  
Tissue Samples ◽  
Archival Material ◽  
Immuno Electron Microscopy ◽  
Arteries And Veins ◽  
Biochemical Examination

Elastic tissue is an important component of the walls of arteries and veins, of skin, of the lungs and in lesser amounts, of many other tissues. It is responsible for the rubber-like properties of the arteries and for the normal texture of young skin. It undergoes changes in a number of important diseases such as atherosclerosis and emphysema and on exposure of skin to sunlight.We have recently described methods for the localizationof elastic tissue components in normal animal and human tissues. In the study of developing and diseased tissues it is often not possible to obtain samples which have been optimally prepared for immuno-electron microscopy. Sometimes there is also a need to examine retrospectively samples collected some years previously. We have therefore developed modifications to our published methods to allow examination of human and animal tissue samples obtained at surgery or during post mortem which have subsequently been: 1. stored frozen at -35° or -70°C for biochemical examination; 2.

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