Title :
A Spatiotemporal Motion-Vector Filter for Object Tracking on Compressed Video
Author :
Moura, Ronaldo C. ; Hemerly, Elder Moreira
Author_Institution :
Monity, São José dos Campos, Brazil
fDate :
Aug. 29 2010-Sept. 1 2010
Abstract :
In this paper, a novel filter for real-time object tracking from compressed domain is presented and evaluated. The filter significantly reduces the noisy motion vectors, that do not represent a real object movement, from Mpeg family compressed videos. The filter analyses the spatial (neighborhood) and temporal coherence of block motion vectors to determine if they are likely to represent true motion from the recorded scene. Qualitative and quantitative experiments are performed displaying that the proposed spatiotemporal filter (STF) outperforms the currently widely used vector median filter. The results obtained with the spatiotemporal filter make it suitable as a first step of any system that aims to detect and track objects from compressed video using its motion vectors.
Keywords :
data compression; median filters; object detection; spatiotemporal phenomena; video coding; Mpeg family; block motion vectors; compressed domain; compressed video; noisy motion vectors; object detection; real-time object tracking; spatial neighborhood; spatiotemporal motion-vector filter; temporal coherence; vector median filter; Cameras; Equations; Mathematical model; Motion segmentation; Noise measurement; Spatiotemporal phenomena; Tracking;
Conference_Titel :
Advanced Video and Signal Based Surveillance (AVSS), 2010 Seventh IEEE International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-8310-5
DOI :
10.1109/AVSS.2010.82