Tracking three-dimensional moving light displays
Proc. of the ACM SIGGRAPH/SIGART interdisciplinary workshop on Motion: representation and perception
Finding Trajectories of Feature Points in a Monocular Image Sequence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Point Correspondence in the Presence of Occlusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Establishing motion correspondence
CVGIP: Image Understanding
A review of statistical data association for motion correspondence
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Covering Points of a Digraph with Point-Disjoint Paths and Its Application to Code Optimization
Journal of the ACM (JACM)
Resolving Motion Correspondence for Densely Moving Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Tracking and Object Classification for Automated Surveillance
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Tracking Across Multiple Cameras With Disjoint Views
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Learning, detection and representation of multi-agent events in videos
Artificial Intelligence
Distributed visual sensing for virtual top-view trajectory generation in football videos
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Objective Evaluation of Pedestrian and Vehicle Tracking on the CLEAR Surveillance Dataset
Multimodal Technologies for Perception of Humans
Person and Vehicle Tracking in Surveillance Video
Multimodal Technologies for Perception of Humans
Multimodal Technologies for Perception of Humans
Automatic Tracking of Escherichia Coli Bacteria
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Learning scene context for multiple object tracking
IEEE Transactions on Image Processing
Tracking feature points: dynamic programming algorithm
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A jump-diffusion particle filter for tracking grouped and fragmented objects
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Multi-feature graph-based object tracking
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Motion projection for floating object detection
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Trajectory analysis in natural images using mixtures of vector fields
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Trajectory classification using switched dynamical hidden Markov models
IEEE Transactions on Image Processing
Optimal-flow minimum-cost correspondence assignment in particle flow tracking
Computer Vision and Image Understanding
Tracking of multiple objects using optical flow based multiscale elastic matching
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Detection and tracking of multiple similar objects based on color-pattern
AIS'11 Proceedings of the Second international conference on Autonomous and intelligent systems
A cascaded method to detect aircraft in video imagery
International Journal of Robotics Research
Tracking by cluster analysis of feature points and multiple particle filters
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Visual tracking of numerous targets via multi-Bernoulli filtering of image data
Pattern Recognition
Backtracking: Retrospective multi-target tracking
Computer Vision and Image Understanding
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
GMCP-Tracker: global multi-object tracking using generalized minimum clique graphs
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
STIA'12 Proceedings of the Second international conference on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data
Multiple target tracking using frame triplets
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
International Journal of Computer Vision
Cell tracking in microscopic video using matching and linking of bipartite graphs
Computer Methods and Programs in Biomedicine
Incremental object learning and robust tracking of multiple objects from RGB-D point set data
Journal of Visual Communication and Image Representation
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This paper presents a framework for finding point correspondences in monocular image sequences over multiple frames. The general problem of multiframe point correspondence is NP-hard for three or more frames. A polynomial time algorithm for a restriction of this problem is presented and is used as the basis of the proposed greedy algorithm for the general problem. The greedy nature of the proposed algorithm allows it to be used in real-time systems for tracking and surveillance, etc. In addition, the proposed algorithm deals with the problems of occlusion, missed detections, and false positives by using a single noniterative greedy optimization scheme and, hence, reduces the complexity of the overall algorithm as compared to most existing approaches where multiple heuristics are used for the same purpose. While most greedy algorithms for point tracking do not allow for entry and exit of the points from the scene, this is not a limitation for the proposed algorithm. Experiments with real and synthetic data over a wide range of scenarios and system parameters are presented to validate the claims about the performance of the proposed algorithm.