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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 2, FEBRUARY 2017

Real Time Video Motion Detection for Traffic Surveillance

Dr. Sachin S. Agrawal, Prof. S. A. Bhura

DOI: 10.17148/IJARCCE.2017.6251

Abstract: Visual analysis of human motion is currently one of the most active research topics in computer vision. This strong interest is driven by a wide spectrum of promising applications in many areas such as virtual reality, smart surveillance, perceptual interface, etc. Human motion analysis concerns the detection, tracking and recognition of people, and more generally, the understanding of human behaviors, from image sequences involving humans. It provides a comprehensive survey of research on computer vision based human motion analysis. The emphasis is on three major issues involved in a general human motion analysis system, namely human detection, tracking and activity understanding. Various methods for each issue are discussed in order to examine the state of the art.



Keywords: Human motion analysis; Detection; Tracking; Behavior understanding; Semantic description.

How to Cite:

[1] Dr. Sachin S. Agrawal, Prof. S. A. Bhura, “Real Time Video Motion Detection for Traffic Surveillance,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6251