Robust multiple car tracking with occlusion reasoning
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
A Probabilistic Exclusion Principle for Tracking Multiple Objects
International Journal of Computer Vision
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Color-Based Probabilistic Tracking
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Wormholes in Shape Space: Tracking through Discontinuous Changes in Shape
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Robust online appearance models for visual tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards automatic analysis of social interaction patterns in a nursing home environment from video
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Adaptive object tracking using bayesian network and memory
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Multimodal detection of human interaction events in a nursing home environment
Proceedings of the 6th international conference on Multimodal interfaces
Video text recognition using sequential Monte Carlo and error voting methods
Pattern Recognition Letters
Behavioral Priors for Detection and Tracking of Pedestrians in Video Sequences
International Journal of Computer Vision
Detecting social interactions of the elderly in a nursing home environment
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
EURASIP Journal on Applied Signal Processing
Non-overlapping Distributed Tracking System Utilizing Particle Filter
Journal of VLSI Signal Processing Systems
Sequential particle generation for visual tracking
IEEE Transactions on Circuits and Systems for Video Technology
An incremental Bhattacharyya dissimilarity measure for particle filtering
Pattern Recognition
Real time tracking using an active pan-tilt-zoom network camera
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
An improved tracking algorithm in crowded scenes and dynamic background
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Multi-agent motion tracking using the particle filter in ISpace with DINDs
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Adaptive multiple object tracking using colour and segmentation cues
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Object tracking via uncertainty minimization
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
An adaptive Bayesian technique for tracking multiple objects
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Enhancing particle swarm optimization based particle filter tracker
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Human tracking by multiple kernel boosting with locality affinity constraints
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Robot position estimation and tracking using the particle filter and SOM in robotic space
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Visual tracking of numerous targets via multi-Bernoulli filtering of image data
Pattern Recognition
Video target tracking based on a new adaptive particle swarm optimization particle filter
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
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Color can provide an efficient visual feature for tracking non-rigid objects in real-time. However, the color ofan object can vary over time dependent on the illumination, the visual angle and the camera parameters. To handle these appearance changes a color-based target model must be adapted during temporally stable image observations.This paper presents the integration ofcolor distributions into particle filtering and shows how these distributions can be adapted over time. A particle filter tracks several hypotheses simultaneously and weights them according to their similarity to the target model. As similarity measure between two color distributions the popular Bhattacharyya coefficient is applied. In order to update the target model to slowly varying image conditions, frames where the object is occluded or too noisy must be discarded.