DocumentCode :
3486635
Title :
Motion estimation in video sequences by edge detection
Author :
Boyaci, Futih ; Telatar, Z.
Author_Institution :
Muhendislik Fakultesi, Ankara Univ., Turkey
fYear :
2004
fDate :
28-30 April 2004
Firstpage :
474
Lastpage :
477
Abstract :
A fast approach to detecting and estimating multiple object motion in video sequences is presented. The method is based on transforming each image in the sequence of frames into vector projections formed by accumulating a pixel shift value along the rows and columns of the image. The projections corresponding to consecutive frames are in turn used to detect and estimate the individual horizontal and vertical components of the possible shifts. For that reason, block matching and maximum absolute difference (MAD) algorithms are used in detecting and tracking the moving objects in sequences. Sharp transitions or short edges in each image frame are also considered as an efficient method in the algorithm for decreasing the computational cost. Experimental results show that the usefulness of the method is presented not only in the context of motion analysis and ability to track objects, but also for a decrease in the processing time required for detection and tracking.
Keywords :
edge detection; image matching; image sequences; motion estimation; object detection; optical tracking; video signal processing; block matching algorithm; computational cost; edge detection; maximum absolute difference algorithm; motion analysis; motion estimation; multiple object motion; object detection; object tracking; pixel shift value; processing time; sharp transitions; vector projections; video sequences; Computational efficiency; Computer crime; Image edge detection; Motion analysis; Motion detection; Motion estimation; Object detection; Pixel; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th
Print_ISBN :
0-7803-8318-4
Type :
conf
DOI :
10.1109/SIU.2004.1338567
Filename :
1338567
Link To Document :
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