Novel development of fast processing algorithm for the moving object detection in RT videos using histogram orientation gradient method

Moving object detection in RT videos tracking is an important research area in the field of surveillance mission especially in the high security zones & defense areas. Despite a lot of progress in the field, visual tracking remains a difficult problem due to many challenges as this involves lot...

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Bibliographic Details
Published in2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) pp. 2490 - 2495
Main Authors Nanaware, Varsha Shrirang, Nerkar, Mohan Harihar, Patil, C.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2017
Subjects
Detection
Detectors
Feature extraction
Human tracking
Image Processing
Moving objects
Real time
Real-time systems
Robustness
Segmentation
Target tracking
Video surveillance
Videos
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Summary:Moving object detection in RT videos tracking is an important research area in the field of surveillance mission especially in the high security zones & defense areas. Despite a lot of progress in the field, visual tracking remains a difficult problem due to many challenges as this involves lot of memory, computations & fast processing algorithms. In this research paper, we present a novel methodology of fast processing algorithm for the moving object detection in RT videos using histogram orientation gradient method and using support vector machines. Two cases of videos are being considered for the simulation purposes. The simulation results shows the effectiveness of the methodology adopted by us in the field of video processing of dynamic objects.
ISBN:9781538608135
1538608138
DOI:10.1109/ICPCSI.2017.8392165