Performance of optical flow techniques
International Journal of Computer Vision
Detecting Salient Motion by Accumulating Directionally-Consistent Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Adaptive Change Detection for Real-Time Surveillance Applications
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Motion Detection with Non-stationary Background
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Background Modeling and Subtraction of Dynamic Scenes
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Machine Vision and Applications
Attention-from-motion: A factorization approach for detecting attention objects in motion
Computer Vision and Image Understanding
Detection and segmentation of moving objects in complex scenes
Computer Vision and Image Understanding
A PCA-based technique to detect moving objects
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Stochastic approximation for background modelling
Computer Vision and Image Understanding
Pattern Recognition and Image Analysis
Moving object removal based on global feature registration
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Region-growing detection of moving objects in video sequences based on optical flow
Pattern Recognition and Image Analysis
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Intelligent moving objects detection via adaptive frame differencing method
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
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Moving object detection is very important for video surveillance. In many environments, motion maybe either interesting (salient) motion (e.g., a person) or uninteresting motion (e.g., swaying branches.) In this paper, we propose a new real-time algorithm to detect salient motion in complex environments by combining temporal difference imaging and a temporal filtered motion field. We assume that the object with salient motion moves in a consistent direction for a period of time. No prior knowledge about object size and shape is necessary. Compared to background subtraction methods, our method does NOT need to learn the background model from hundreds of images and can handle quick image variations; e.g., a light being turned on or off. The average speed of our method is about 50fps on images at size 160x120 in 1GB Pentium III machines. The effectiveness of the proposed algorithm to robust detect salient motion is demonstrated for a variety of real environments with distracting motions such as lighting changes, swaying branches, rippling water, waterfall, and fountains.