Computer Vision and Image Understanding
Video saliency detection with robust temporal alignment and local-global spatial contrast
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
On multi-view video segmentation for object-based coding
Digital Signal Processing
Event detection in underwater domain by exploiting fish trajectory clustering
Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data
Quantitative performance analysis of object detection algorithms on underwater video footage
Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data
Visual knowledge transfer among multiple cameras for people counting with occlusion handling
Proceedings of the 20th ACM international conference on Multimedia
Adaptive visual obstacle detection for mobile robots using monocular camera and ultrasonic sensor
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Perennial simulation of a legacy traffic model: implementation, considerations, and ramifications
Proceedings of the Winter Simulation Conference
Fast pedestrian detection based on sliding window filtering
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
A unified approach to background adaptation and initialization in public scenes
Pattern Recognition
Background subtraction based on multi-channel SILTP
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
A video processing and data retrieval framework for fish population monitoring
Proceedings of the 2nd ACM international workshop on Multimedia analysis for ecological data
A motion detection system for video surveillance
Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities
FPGA-based architecture for real time segmentation and denoising of HD video
Journal of Real-Time Image Processing
Background foreground segmentation with RGB-D Kinect data: An efficient combination of classifiers
Journal of Visual Communication and Image Representation
OFGM-SMED: An Efficient and Robust Foreground Object Detection in Compressed Video Sequences
Engineering Applications of Artificial Intelligence
Pattern Recognition Letters
A rule-based event detection system for real-life underwater domain
Machine Vision and Applications
Hi-index | 0.01 |
This paper presents a technique for motion detection that incorporates several innovative mechanisms. For example, our proposed technique stores, for each pixel, a set of values taken in the past at the same location or in the neighborhood. It then compares this set to the current pixel value in order to determine whether that pixel belongs to the background, and adapts the model by choosing randomly which values to substitute from the background model. This approach differs from those based upon the classical belief that the oldest values should be replaced first. Finally, when the pixel is found to be part of the background, its value is propagated into the background model of a neighboring pixel. We describe our method in full details (including pseudo-code and the parameter values used) and compare it to other background subtraction techniques. Efficiency figures show that our method outperforms recent and proven state-of-the-art methods in terms of both computation speed and detection rate. We also analyze the performance of a downscaled version of our algorithm to the absolute minimum of one comparison and one byte of memory per pixel. It appears that even such a simplified version of our algorithm performs better than mainstream techniques.