Movement Detection and Tracking Using Video Frames

Authors:
Josue Hernandez;Hiroshi Morita;Mariko Nakano-Miytake;Hector Perez-Meana
Affiliations:
National Polytechnic Institute, Mexico, Mexico 04430;The University of Electro-Communications, Tokyo, Japan 182-8585;National Polytechnic Institute, Mexico, Mexico 04430;National Polytechnic Institute, Mexico, Mexico 04430
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

Citing 9
Cited 0

MPEG Handbook

MPEG Handbook
Mining Surveillance Video for Independent Motion Detection

ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Recognition of Shapes by Editing Their Shock Graphs

IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting motion patterns via direction maps with application to surveillance

Computer Vision and Image Understanding
Video motion detection using the algorithm of discrimination and the hamming distance

ISSADS'05 Proceedings of the 5th international conference on Advanced Distributed Systems
Support vector tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence
Surfaces with occlusions from layered stereo

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast occluded object tracking by a robust appearance filter

IEEE Transactions on Pattern Analysis and Machine Intelligence
Object tracking for retrieval applications in MPEG-2

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

The use of image processing schemes as part of the security systems have been increasing, to detect, classify as well as to tract object and human motion with a high precision. To this end several approaches have been proposed during the last decades using image processing techniques, because computer vision let us to manipulated digital image sequences to extract useful information contained in a video stream. In this paper we present a motion detection algorithm using the movement vectors estimation which are subsequently filtered to obtain better information about real motion into a given scenes. Experimental results show that the accuracy of proposed system.