Inherent Ambiguities in Recovering 3-D Motion and Structure from a Noisy Flow Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Three-Frame Algorithm for Estimating Two-Component Image Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of Ego-Motion Using Region Alignment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parallax Geometry of Pairs of Points for 3D Scene Analysis
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
A Robust and Efficient Algorithm for Image Registration
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Independent Motion Detection in 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Probabilistic Exclusion Principle for Tracking Multiple Objects
International Journal of Computer Vision
Fast and Accurate Algorithms for Projective Multi-Image Structure from Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Event Detection and Analysis from Video Streams
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-Frame Correspondence Estimation Using Subspace Constraints
International Journal of Computer Vision
Direct Recovery of Planar-Parallax from Multiple Frames
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical background modeling for non-stationary camera
Pattern Recognition Letters
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Plane+Parallax, Tensors and Factorization
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Direct Recovery of Planar-Parallax from Multiple Frames
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
A Region Tracking Method with Failure Detection for an Interactive Video Indexing Environment
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Foreground Segmentation Using Motion Vectors in Sports Video
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Object Recognition for Video Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
A framework for heading-guided recognition of human activity
Computer Vision and Image Understanding
Motion analysis of Omni-Directional video streams for a mobile sentry
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Finding the focus of expansion and estimating range using optical flow images and a matched filter
Machine Vision and Applications
Motion Segmentation Using Occlusions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online Selection of Discriminative Tracking Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-View Multibody Structure-and-Motion with Outliers through Model Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
Towards 3-D scene reconstruction from broadcast video
Image Communication
Multi-view correspondence by enforcement of rigidity constraints
Image and Vision Computing
A Model-Selection Framework for Multibody Structure-and-Motion of Image Sequences
International Journal of Computer Vision
Block Wiener-based image registration for moving target indication
Image and Vision Computing
A Scalable Video Stabilization Algorithm for Multi-camera Systems
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Detection of object motion regions in aerial image pairs with a multilayer Markovian model
IEEE Transactions on Image Processing
Moving object detection by multi-view geometric techniques from a single camera mounted robot
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Multibody structure-and-motion segmentation by branch-and-bound model selection
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
Action recognition with appearance-motion features and fast search trees
Computer Vision and Image Understanding
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
A phase discrepancy analysis of object motion
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Extraction of layers of similar motion through combinatorial techniques
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Fast outlier rejection by using parallax-based rigidity constraint for epipolar geometry estimation
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Independent motion detection in the light of the aperture problem
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Directional votes of optical flow projections for independent motion detection
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Tensor-SIFT Based Earth Mover's Distance for Contour Tracking
Journal of Mathematical Imaging and Vision
Moving foreground object detection via robust SIFT trajectories
Journal of Visual Communication and Image Representation
Hi-index | 0.14 |
The detection of moving objects is important in many tasks. Previous approaches to this problem can be broadly divided into two classes: 2D algorithms which apply when the scene can be approximated by a flat surface and/or when the camera is only undergoing rotations and zooms, and 3D algorithms which work well only when significant depth variations are present in the scene and the camera is translating. In this paper, we describe a unified approach to handling moving-object detection in both 2D and 3D scenes, with a strategy to gracefully bridge the gap between those two extremes. Our approach is based on a stratification of the moving object-detection problem into scenarios which gradually increase in their complexity. We present a set of techniques that match the above stratification. These techniques progressively increase in their complexity, ranging from 2D techniques to more complex 3D techniques. Moreover, the computations required for the solution to the problem at one complexity level become the initial processing step for the solution at the next complexity level. We illustrate these techniques using examples from real-image sequences.