Artificial Intelligence - Special volume on computer vision
A Unified Approach to Moving Object Detection in 2D and 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust detection of degenerate configurations while estimating the fundamental matrix
Computer Vision and Image Understanding
Algebraic Functions For Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Model-based brightness constraints: on direct estimation of structure and motion
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Model-based 2D&3D dominant motion estimation for mosaicing and video representation
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
What Can Projections of Flow Fields Tell Us About the Visual Motion
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Independent 3D Motion Detection Using Rsidual Parallax Normal Flow Fields
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Robust Computer Vision through Kernel Density Estimation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Independent motion detection directly from compressed surveillance video
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Reconstruction of a Scene with Multiple Linearly Moving Objects
International Journal of Computer Vision
Motion Segmentation Using Occlusions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vehicle and Person Tracking in Aerial Videos
Multimodal Technologies for Perception of Humans
Detection of object motion regions in aerial image pairs with a multilayer Markovian model
IEEE Transactions on Image Processing
Realtime motion segmentation based multibody visual SLAM
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and 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
Novel micro aerial vehicle video segmentation algorithm
COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
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This paper presents an algorithmic approach to the problem of detecting independently moving objects in 3D scenes that are viewed under camera motion. There are two fundamental constraints that can be exploited for the problem: 1) two/multiview camera motion constraint (for instance, the epipolar/trilinear constraint) and 2) shape constancy constraint. Previous approaches to the problem either use only partial constraints, or rely on dense correspondences or flow. We employ both the fundamental constraints in an algorithm that does not demand a priori availability of correspondences or flow. Our approach uses the plane-plus-parallax decomposition to enforce the two constraints. It is also demonstrated that for a class of scenes, called sparse 3D scenes in which genuine parallax and independent motions may be confounded, how the plane-plus-parallax decomposition allows progressive introduction, and verification of the fundamental constraints. Results of the algorithm on some difficult sparse 3D scenes are promising.