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» Video categorization using object of interest detection
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112
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ICIAP
2007
ACM
16 years 3 months ago
A Framework for False Positive Suppression in Video Segmentation
Object detection in video surveillance is typically done through background subtraction or temporal differencing. While these techniques perform very well under scenes where there...
Min Han Tun, Geoff A. W. West, Tele Tan
128
Voted
MVA
2008
131views Computer Vision» more  MVA 2008»
15 years 3 months ago
Frame-level temporal calibration of video sequences from unsynchronized cameras
This paper describes a new method for temporally calibrating multiple cameras by image processing operations. Existing multi-camera algorithms assume that the input sequences are ...
Senem Velipasalar, Wayne Wolf
120
Voted
ECCV
2008
Springer
16 years 5 months ago
Scene Segmentation for Behaviour Correlation
Abstract. This paper presents a novel framework for detecting abnormal pedestrian and vehicle behaviour by modelling cross-correlation among different co-occurring objects both loc...
Jian Li, Shaogang Gong, Tao Xiang
113
Voted
ICIP
2005
IEEE
16 years 5 months ago
Spatio-temporal attention model for video content analysis
This paper presents a new model of human attention that allows salient areas to be extracted from video frames. As automatic understanding of video semantic content is still far fr...
Mickael Guironnet, Nathalie Guyader, Denis Pelleri...
136
Voted
TNN
2008
178views more  TNN 2008»
15 years 3 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen