Illumination independent change detection for real world image sequences
Computer Vision, Graphics, and Image Processing
Direct evidence for occlusion in stereo and motion
ECCV 90 Proceedings of the first european conference on Computer vision
Region-based tracking using affine motion models in long image sequences
CVGIP: Image Understanding
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Warping
Introduction to Robotics: Mechanics and Control
Introduction to Robotics: Mechanics and Control
Hierarchical Model-Based Motion Estimation
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A Comparison of Measures for Detecting Natural Shapes in Cluttered Backgrounds
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Motion of Disturbances: Detection and Tracking of multi-Body non-Rigid Motion
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Multi-Image Focus of Attention for Rapid Site Model Construction
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Background Modeling for Segmentation of Video-Rate Stereo Sequences
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Using Adaptive Tracking to Classify and Monitor Activities in a Site
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Moving Target Classification and Tracking from Real-time Video
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
View-Based Detection and Analysis of Periodic Motion
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Finding Periodicity in Space and Time
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Video-Based Drowning Detection System
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Establishing motion correspondence using extended temporal scope
Artificial Intelligence
Robust estimation of the optical flow based on VQ--BF
Biologically inspired robot behavior engineering
Foreground object detection from videos containing complex background
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Automated Analysis of Nursing Home Observations
IEEE Pervasive Computing
Road extraction from motion cues in aerial video
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
A Texture-Based Method for Modeling the Background and Detecting Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatio-temporal background models for outdoor surveillance
EURASIP Journal on Applied Signal Processing
Bayesian object extraction from uncalibrated image pairs
Image Communication
Vision Based Pose Recognition in Video Game
Edutainment '08 Proceedings of the 3rd international conference on Technologies for E-Learning and Digital Entertainment
Shape from inconsistent silhouette
Computer Vision and Image Understanding
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 model change detection approach to dynamic scene modeling
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Unsupervised Video Analysis for Counting of Wood in River during Floods
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Multl-resolution background subtraction for dynamic scenes
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Local histogram of figure/ground segmentations for dynamic background subtraction
EURASIP Journal on Advances in Signal Processing
Combining motion segmentation with tracking for activity analysis
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Sustained observability for salient motion detection
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Wood detection and tracking in videos of rivers
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Fusing color and texture features for background model
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Fast motion detection based on accumulative optical flow and double background model
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Object tracking using background subtraction and motion estimation in MPEG videos
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
A kalman filter based background updating algorithm robust to sharp illumination changes
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Background modeling by subspace learning on spatio-temporal patches
Pattern Recognition Letters
Video saliency detection with robust temporal alignment and local-global spatial contrast
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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
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ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Spatiotemporal salience via centre-surround comparison of visual spacetime orientations
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Real-time background modeling based on a multi-level texture description
Information Sciences: an International Journal
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Motion detection can play an important role in many vision tasks. Yet image motion can arise from 驴uninteresting驴 events as well as interesting ones. In this paper, salient motion is defined as motion that is likely to result from a typical surveillance target (e.g., a person or vehicle traveling with a sense of direction through a scene) as opposed to other distracting motions (e.g., the scintillation of specularities on water, the oscillation of vegetation in the wind). We propose an algorithm for detecting this salient motion that is based on intermediate-stage vision integration of optical flow. Empirical results are presented that illustrate the applicability of the proposed methods to real-world video. Unlike many motion detection schemes, no knowledge about expected object size or shape is necessary for rejecting the distracting motion.