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IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Matching Using Deformable Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical background modelling for tracking with a virtual camera
BMVC '95 Proceedings of the 6th British conference on Machine vision (Vol. 2)
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable Shape Detection and Description via Model-Based Region Grouping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer and Robot Vision
Multiple video object tracking in complex scenes
Proceedings of the tenth ACM international conference on Multimedia
W4S: A real-time system detecting and tracking people in 2 1/2D
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Second order image statistics in computer graphics
APGV '04 Proceedings of the 1st Symposium on Applied perception in graphics and visualization
Video enhancement using per-pixel virtual exposures
ACM SIGGRAPH 2005 Papers
Contrast restoration of weather degraded images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical modeling of complex backgrounds for foreground object detection
IEEE Transactions on Image Processing
Multiple objects tracking by color-based methods
ISCGAV'08 Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision
People detection through quantified fuzzy temporal rules
Pattern Recognition
Real-time vision-based multiple vehicle detection and tracking for nighttime traffic surveillance
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Object detection and tracking for night surveillance based on salient contrast analysis
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Background subtraction for automated multisensor surveillance: a comprehensive review
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Detection and tracking of multiple similar objects based on color-pattern
AIS'11 Proceedings of the Second international conference on Autonomous and intelligent systems
Real-Time object detection with adaptive background model and margined sign correlation
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
International Journal of Computer Vision
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Autonomous video surveillance and monitoring has a rich history. Many deployed systems are able to reliably track human motion in indoor and controlled outdoor environments. However, object detection and tracking at night remain very important problems for visual surveillance. The objects are often distant, small and their signatures have low contrast against the background. Traditional methods based on the analysis of the difference between successive frames and a background frame will do not work. In this paper, a novel real time object detection algorithm is proposed for night-time visual surveillance. The algorithm is based on contrast analysis. In the first stage, the contrast in local change over time is used to detect potential moving objects. Then motion prediction and spatial nearest neighbor data association are used to suppress false alarms. Experiments on real scenes show that the algorithm is effective for night-time object detection and tracking.