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» Adaptive summarisation of surveillance video sequences
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ECCV
2008
Springer
14 years 9 months ago
Edge-Preserving Smoothing and Mean-Shift Segmentation of Video Streams
Video streams are ubiquitous in applications such as surveillance, games, and live broadcast. Processing and analyzing these data is challenging because algorithms have to be effic...
Sylvain Paris
AVSS
2007
IEEE
14 years 1 months ago
On the effect of motion segmentation techniques in description based adaptive video transmission
This paper presents the results of analysing the effect of different motion segmentation techniques in a system that transmits the information captured by a static surveillance ca...
Juan Carlos San Miguel, José María M...
ICIP
2001
IEEE
14 years 8 months ago
Constant pace skimming and temporal sub-sampling of video using motion activity
We describe a "constant pace" framework for video summarization via fast playback or temporal subsampling. The pace of the summary serves as a parameter that enables pro...
Ajay Divakaran, Kadir A. Peker, Huifang Sun
ICASSP
2011
IEEE
12 years 10 months ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai
PREMI
2007
Springer
14 years 1 months ago
An Adaptive Bayesian Technique for Tracking Multiple Objects
Abstract. Robust tracking of objects in video is a key challenge in computer vision with applications in automated surveillance, video indexing, human-computer-interaction, gesture...
Pankaj Kumar, Michael J. Brooks, Anton van den Hen...