MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Detection and segmentation of moving objects in complex scenes
Computer Vision and Image Understanding
Learning complex background by multi-scale discriminative model
Pattern Recognition Letters
Real-Time Moving Object Detection for Video Surveillance
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Background extraction using improved mode algorithm for visual surveillance applications
International Journal of Computational Science and Engineering
Temporal Spectral Residual for fast salient motion detection
Neurocomputing
On change detection and displacement vector estimation in image sequences
Pattern Recognition Letters
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Moving foreground object detection via robust SIFT trajectories
Journal of Visual Communication and Image Representation
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The count of events where sample areas from the second and subsequent frames of a TV-image sequence are incompatible with the corresponding sample area of the first frame are accumulated in a first-order difference picture (FODP). Analysis of this FODP provides a separate estimate for images of moving objects and of stationary scene components. We start from the hypothesis that the first frame represents the stationary scene component. Once it has been recognized that a subarea of this initial estimate corresponds to the image of a moving object, the grey values in this subarea are replaced by later estimates of the stationary background at this position. No knowledge specific to a particular scene is utilized in the algorithm. The results for two scene sequences are presented.