scholarly journals Moving Object Counting Using a Tripwire in H.265/HEVC Bitstreams for Video Surveillance

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 2529-2541 ◽  
Author(s):  
Yung-Wei Chen ◽  
Kai Chen ◽  
Shih-Yi Yuan ◽  
Sy-Yen Kuo
Keyword(s):  
Video Surveillance ◽  
Moving Object ◽  
Object Counting

scholarly journals Sunshine-Change-Tolerant Moving Object Masking for Realizing both Privacy Protection and Video Surveillance

2014 ◽  
Vol E97.D (9) ◽  
pp. 2483-2492
Author(s):  
Yoichi TOMIOKA ◽  
Hikaru MURAKAMI ◽  
Hitoshi KITAZAWA
Keyword(s):  
Video Surveillance ◽  
Privacy Protection ◽  
Moving Object

Video stabilization with moving object detecting and tracking for aerial video surveillance

2014 ◽  
Vol 74 (17) ◽  
pp. 6745-6767 ◽  
Author(s):  
Ahlem Walha ◽  
Ali Wali ◽  
Adel M. Alimi
Keyword(s):  
Video Surveillance ◽  
Moving Object ◽  
Video Stabilization ◽  
Aerial Video

scholarly journals Moving Object Tracking Algorithm for Complex Shape and Occlusion Handling

2019 ◽  
Vol 9 (1) ◽  
pp. 6299-6304
Keyword(s):  
Object Tracking ◽  
Video Surveillance ◽  
Background Subtraction ◽  
Traffic Monitoring ◽  
Block Matching ◽  
Moving Object ◽  
Subtraction Method ◽  
Matching Algorithm ◽  
Block Matching Algorithm ◽  
Moving Object Tracking

An object tracking increases loads of enthusiasm for dynamic research in applications such as video surveillance, vehicle navigation, highways, crowded public places, borders, forest and traffic monitoring areas. The system we develop aims to measure and analyze the application of background subtraction method and block matching algorithm to trace object movements through video-based. The making of video surveillance systems “smart” requires fast, reliable and robust algorithms for moving object detection and tracking. This research applies background subtraction method to detect moving object, assisted with block matching algorithm which aims to get good results on objects that have been detected. Performance evaluation is carried out to determine the various parameters. In this paper author design and develop a novel algorithm for moving object tracking in video surveillance also compares and analyse existing algorithms for moving object tracking. Author main aim to design and develop an algorithm for moving object tracking to handle occlusion and complex object shapes.

The Design and Implementation of Moving Object Detecting Algorithm in Intelligent Video Surveillance

2015 ◽  
Vol 738-739 ◽  
pp. 779-783
Author(s):  
Jin Hua Sun ◽  
Cui Hua Tian
Keyword(s):  
Video Surveillance ◽  
Background Subtraction ◽  
Surveillance System ◽  
Image Sequence ◽  
Background Modeling ◽  
Moving Object ◽  
Video Surveillance System ◽  
Surveillance Video ◽  
Subtraction Method ◽  
Design And Implementation

In view of the problems existed in moving object detection in video surveillance system, background subtraction method is adopted and combined with Surendra algorithm for background modeling, an algorithm of detecting moving object from video is proposed, and OpenCV programming is adopted in Visual c ++ 6.0 for implementation. Experimental results indicate that the algorithm can accurately detect and identify moving object in video by reading the image sequence of surveillance video, the validity of the algorithm is verified.

Three-Pronged Compensation and Hysteresis Thresholding for Moving Object Detection in Real-Time Video Surveillance

2017 ◽  
Vol 64 (6) ◽  
pp. 4945-4955 ◽  
Author(s):  
Chia-Hung Yeh ◽  
Chih-Yang Lin ◽  
Kahlil Muchtar ◽  
Hsiang-Erh Lai ◽  
Ming-Ting Sun
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Video Surveillance ◽  
Moving Object Detection ◽  
Moving Object ◽  
Hysteresis Thresholding

Robust skin color-based moving object detection for video surveillance

2016 ◽  
Vol 25 (4) ◽  
pp. 043007 ◽  
Author(s):  
Kalirajan Kaliraj ◽  
Sudha Manimaran
Keyword(s):  
Object Detection ◽  
Video Surveillance ◽  
Skin Color ◽  
Moving Object Detection ◽  
Moving Object
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