IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Empirical Bayesian EM-based Motion Segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation.
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Real-time tracking of image regions with changes in geometry and illumination
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
An Integrated Bayesian Approach to Layer Extraction from Image Sequences
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Using known motion fields for image separation in transparency
Pattern Recognition Letters
Detected motion classification with a double-background and a neighborhood-based difference
Pattern Recognition Letters
Multi-level background initialization using Hidden Markov Models
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Computer vision techniques for PDA accessibility of in-house video surveillance
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Tracking Multiple Humans in Complex Situations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion Layer Extraction in the Presence of Occlusion Using Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exemplar-based background model initialization
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Computing Surveys (CSUR)
Top-down, bottom-up multivalued default reasoning for identity maintenance
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Clustering in video data: Dealing with heterogeneous semantics of features
Pattern Recognition
Real-time object tracking using bounded irregular pyramids
Pattern Recognition Letters
Background estimation under rapid gain change in thermal imagery
Computer Vision and Image Understanding
Pedestrian detection and tracking in infrared imagery using shape and appearance
Computer Vision and Image Understanding
Segmentation and region of interest based image retrieval in low depth of field observations
Image and Vision Computing
Interaction between high-level and low-level image analysis for semantic video object extraction
EURASIP Journal on Applied Signal Processing
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining object and feature dynamics in probabilistic tracking
Computer Vision and Image Understanding
Toward a sentient environment: real-time wide area multiple human tracking with identities
Machine Vision and Applications
Video Tracking Association Problem Using Estimation of Distribution Algorithms in Complex Scenes
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Vehicle and Person Tracking in Aerial Videos
Multimodal Technologies for Perception of Humans
A motion observable representation using color correlogram and its applications to tracking
Computer Vision and Image Understanding
Unusual human behavior recognition using evolutionary technique
Computers and Industrial Engineering
Sputnik Tracker: Having a Companion Improves Robustness of the Tracker
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Weather-adaptive flying target detection and tracking from infrared video sequences
Expert Systems with Applications: An International Journal
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Multiview segmentation and tracking of dynamic occluding layers
Image and Vision Computing
Detection of vehicles using Gabor filters and affine moment invariants from an image
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Dynamic feature cascade for multiple object tracking with trackability analysis
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Multiple objects tracking in the presence of long-term occlusions
Computer Vision and Image Understanding
Understanding transit scenes: a survey on human behavior-recognition algorithms
IEEE Transactions on Intelligent Transportation Systems
Multi-person tracking with sparse detection and continuous segmentation
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Robust subspace clustering by combined use of kNND metric and SVD algorithm
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Motion layer extraction in the presence of occlusion using graph cut
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Discriminative nonorthogonal binary subspace tracking
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Object tracking and segmentation in a closed loop
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Temporal accumulation of oriented visual features
Journal of Visual Communication and Image Representation
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
Visual tracking using the Earth Mover's Distance between Gaussian mixtures and Kalman filtering
Image and Vision Computing
Real-time object tracking on iPhone
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
The design of a vision-based motion performance system
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Video object tracking via central macro-blocks and directional vectors
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Online moving camera background subtraction
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Road Traffic Parameters Estimation by Dynamic Scene Analysis: A Systematic Review
International Journal of Grid and High Performance Computing
Fast background subtraction using static and dynamic gates
Artificial Intelligence Review
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Decomposing video frames into coherent two-dimensional motion layers is a powerful method for representing videos. Such a representation provides an intermediate description that enables applications such as object tracking, video summarization and visualization, video insertion, and sprite-based video compression. Previous work on motion layer analysis has largely concentrated on two-frame or multiframe batch formulations. The temporal coherency of motion layers and the domain constraints on shapes have not been exploited. This paper introduces a complete dynamic motion layer representation in which spatial and temporal constraints on shape, motion, and layer appearance are modeled and estimated in a maximum a posteriori (MAP) framework using the generalized expectation-maximization (EM) algorithm. In order to limit the computational complexity of tracking arbitrarily shaped layer ownership, we propose a shape prior that parameterizes the representation of shape and prevents motion layers from evolving into arbitrary shapes. In this work, a Gaussian shape prior is chosen to specifically develop a near real-time tracker for vehicle tracking in aerial videos. However, the general idea of using a parametric shape representation as part of the state of a tracker is a powerful one that can be extended to other domains as well. Based on the dynamic layer representation, an iterative algorithm is developed for continuous object tracking over time. The proposed method has been successfully applied in an airborne vehicle tracking system. Its performance is compared with that of a correlation-based tracker and a motion change-based tracker to demonstrate the advantages of the new method. Examples of tracking when the backgrounds are cluttered and the vehicles undergo various rigid motions and complex interactions such as passing, turning, and stop-and-go demonstrate the strength of the complete dynamic layer representation.