Robust model-based motion tracking through the integration of search and estimation
International Journal of Computer Vision
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Tracking non-rigid, moving objects based on color cluster flow
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Real Time Face and Object Tracking as a Component of a Perceptual User Interface
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Region tracking through image sequences
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Alignment by maximization of mutual information
Alignment by maximization of mutual information
Region Tracking via HMMF in Joint Feature-Spatial Space
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Online Selection of Discriminative Tracking Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Modeling of Dynamic Scenes for Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Generalizing the Lucas-Kanade algorithm for histogram-based tracking
Pattern Recognition Letters
Motion and Appearance Nonparametric Joint Entropy for Video Segmentation
International Journal of Computer Vision
Motion Detection with Background Clutter Suppression Based on KDE Model
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Interactive Tracking of 2D Generic Objects with Spacetime Optimization
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Learning Pairwise Dissimilarity Profiles for Appearance Recognition in Visual Surveillance
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Object tracking using SIFT features and mean shift
Computer Vision and Image Understanding
Unusual human behavior recognition using evolutionary technique
Computers and Industrial Engineering
Efficient illumination independent appearance-based face tracking
Image and Vision Computing
Personnel tracking on construction sites using video cameras
Advanced Engineering Informatics
High-dimensional statistical measure for region-of-interest tracking
IEEE Transactions on Image Processing
An incremental Bhattacharyya dissimilarity measure for particle filtering
Pattern Recognition
Target positioning with dominant feature elements
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Spatiotemporal oriented energy features for visual tracking
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Simultaneous appearance modeling and segmentation for matching people under occlusion
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Joint appearance and deformable shape for nonparametric segmentation
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Kernel covariance image region description for object tracking
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Visual tracking using a pixelwise spatiotemporal oriented energy representation
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Multibandwidth kernel-based object tracking
Advances in Artificial Intelligence - Special issue on machine learning paradigms for modeling spatial and temporal information in multimedia data mining
Robust object tracking via inertial potential based mean shift
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Active shape model based segmentation and tracking of facial regions in color images
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Mean shift segmentation method based on hybridized particle swarm optimization
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Inverse composition for multi-kernel tracking
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Orientation and scale invariant kernel-based object tracking with probabilistic emphasizing
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Dual-force metric learning for robust distracter-resistant tracker
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Computer Vision and Image Understanding
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In this paper we present a probabilistic framework for tracking regions based on their appearance. We exploit the feature-spatial distribution of a region representing an object as a probabilistic constraint to track that region over time. The tracking is achieved by maximizing a similaritybased objective function over transformation space given a nonparametric representation of the joint feature-spatial distribution. Such a representation imposes a probabilistic constraint on the region feature distribution coupled with the region structure which yields an appearance tracker that is robust to small local deformations and partial occlusion. We present the approach for the general form of joint feature-spatial distributions and apply it to tracking with different types of image features including row intensity, color and image gradient.