Title :
Classification of moving objects using active vision
Author :
Osman, Sara Mohammed ; Abu-Bakar, Syed A.R.
Author_Institution :
Computer Vision, Video, and Image Processing Laboratory (CVVIP), Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, 81310, Johor, MALAYSIA
Abstract :
An offline system that is capable to detect the moving object and classify it into three classes: “Human, Vehicle and Animal” is presented. The detection of the target based on Background Subtraction technique. The classification makes use of both static and dynamic features of the moving objects. All features are sequentially arranged to improve the classification significantly.
Keywords :
Animals; Automotive engineering; Computer vision; Feature extraction; Humans; Image processing; Laboratories; Object detection; Vehicle detection; Vehicles; 1-D Profile; Background subtraction; Base to Abdomen Ratio; Features vector;
Conference_Titel :
Computers, Communications, & Signal Processing with Special Track on Biomedical Engineering, 2005. CCSP 2005. 1st International Conference on
Conference_Location :
Kuala Lumpur, Malaysia
Print_ISBN :
978-1-4244-0011-9
Electronic_ISBN :
978-1-4244-0012-6
DOI :
10.1109/CCSP.2005.4977170
