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Hierarchical locally adaptive multigrid motion estimation for surveillance applications

: Santos Conde, J.E.; Teuner, A.S.; Hosticka, B.J.


IEEE Signal Processing Society:
IEEE International Conference on Acoustics, Speech, and Signal Processing 1999. Proceedings. Vol.6: Multimedia signal processing, image and multidimensional signal processing, digital signal processing education
Piscataway, NJ: IEEE, 1999
ISBN: 0-7803-5041-3
ISBN: 0-7803-5042-1
ISBN: 0-7803-5043-X
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) <24, 1999, Phoenix/Ariz.>
Conference Paper
Fraunhofer IMS ()
Bewegungsanalyse; block matching; filtering; motion estimation; object detection; Objekterkennung; surveillance; Überwachung

In this communication we address the problem of detection and tracking of moving objects for surveillance or occupant detection systems. The primary goal in this framework is the motion estimation of the extracted foreground. To overcome the drawbacks characteristic of classical block matching techniques, this contribution presents a new feature based hierarchical locally adaptive multigrid (HLAM) block matching motion estimation technique based on a foreground detection procedure using a robust and precise motion field estimation, close to the true motion in the scene. The simulation results highlight the superior performance of the proposed method. It yields better performance than the classical exhaustive search (ES) and the modified three-step search (MTSS) technique in terms of the peak signal-to-noise ratio (PSNR).