Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
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
Vision-Based Gesture Recognition: A Review
GW '99 Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction
Multi-Modal System for Locating Heads and Faces
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Real-time hand tracking using a mean shift embedded particle filter
Pattern Recognition
Robust tracking with motion estimation and local Kernel-based color modeling
Image and Vision Computing
Resolving hand over face occlusion
Image and Vision Computing
A real-time hand tracker using variable-length Markov models of behaviour
Computer Vision and Image Understanding
How to make a simple and robust 3D hand tracking device using a single camera
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
A novel face and hands tracking in a complex background
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Probabilistic Motion Switch Tracking Method Based on Mean Shift and Double Model Filters
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Robust Face Tracking with Suppressed False Positives in Smart Home Environment
ICOST '08 Proceedings of the 6th international conference on Smart Homes and Health Telematics
Real time trajectory based hand gesture recognition
WSEAS Transactions on Information Science and Applications
CamShift guided particle filter for visual tracking
Pattern Recognition Letters
Computer Vision and Image Understanding
Accurate appearance-based Bayesian tracking for maneuvering targets
Computer Vision and Image Understanding
Combined Motion and Appearance Models for Robust Object Tracking in Real-Time
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Robust Object Tracking Using Particle Filters and Multi-region Mean Shift
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
3D human motion tracking based on a progressive particle filter
Pattern Recognition
Expert Systems with Applications: An International Journal
Trajectory-based representation of human actions
ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing
A real time vision-based hand gestures recognition system
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
A hierarchical estimator for object tracking
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
An improvement in MSEPF for visual tracking
Artificial Life and Robotics
A robust particle filter-based face tracker using combination of color and geometric information
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Robust visual tracking for multiple targets
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Fist tracking using bayesian network
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
A vision based game control method
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
Enhanced importance sampling: unscented auxiliary particle filtering for visual tracking
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
A compact association of particle filtering and kernel based object tracking
Pattern Recognition
Real time hand tracking based on active contour model
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
International Journal of Computational Vision and Robotics
Robust hand tracking by integrating appearance, location and depth cues
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Multimodal MSEPF for visual tracking
Artificial Life and Robotics
A new approach for adaptive background object tracking based on Kalman filter and mean shift
Proceedings of the 2013 Research in Adaptive and Convergent Systems
Touch tracking with a particle filter
Machine Vision and Applications
Expert Systems with Applications: An International Journal
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Particle filter and mean shift are two successful approaches taken in the pursuit of robust tracking. Both of them have their respective strengths and weaknesses. In this paper, we proposed a new tracking algorithm, the Mean Shift Embedded Particle Filter (MSEPF), to integrate advantages of the two methods. Compared with the conventional particle filter, the MSEPF leads to more efficient sampling by shifting samples to their neighboring modes, overcoming the degeneracy problem, and requires fewer particles to maintain multiple hypotheses, resulting in low computational cost. When applied to hand tracking, the MSEPF tracks hand in real time, saving much time for later gesture recognition, and it is robust to the hand's rapid movement and various kinds of distractors.