Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
International Journal of Computer Vision
Face recognition by elastic bunch graph matching
Intelligent biometric techniques in fingerprint and face recognition
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Handbook of Fingerprint Recognition
Handbook of Fingerprint Recognition
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Handbook of Face Recognition
Comparison of texture features based on Gabor filters
IEEE Transactions on Image Processing
Template matching based object recognition with unknown geometric parameters
IEEE Transactions on Image Processing
Design-based texture feature fusion using Gabor filters and co-occurrence probabilities
IEEE Transactions on Image Processing
Creating stereoscopic (3D) video from a 2D monocular video stream
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Multi-constraints face detect-track system
CISIM'12 Proceedings of the 11th IFIP TC 8 international conference on Computer Information Systems and Industrial Management
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In this paper, a generic approach to object matching and fast tracking in video and image sequence is presented. The approach first uses Gabor filters to extract flexible and reliable features as the basis of object matching and tracking. Then, a modified Elastic Graph Matching method is proposed for accurate object matching. A novel method based on posterior probability density estimation through sequential Monte Carlo method, called as Sequential Importance Sampling (SIS) method, is also developed to track multiple objects simultaneously. Several applications of our proposed approach are given for performance evaluation, which includes moving target tracking, stereo (3D) imaging, and camera stabilization. The experimental results demonstrated the efficacy of the approach which can also be applied to many other military and civilian applications, such as moving target verification and tracking, visual surveillance of public transportation, country border control, battlefield inspection and analysis, etc.