The Quality of Training Sample Estimates of the Bhattacharyya Coefficient
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Algorithm for Data-Driven Bandwidth Selection
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
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)
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Real-Time Tracking Using Trust-Region Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Mean-Shift Tracking via a New Similarity Measure
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Online Selection of Discriminative Tracking Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Tracking Using Foreground-Background Texture Discrimination
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kinematic jump processes for monocular 3D human tracking
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Divergence measures based on the Shannon entropy
IEEE Transactions on Information Theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Template matching is one of the principle techniques in visual tracking. Various similarity measures have been developed to find the target in an acquired image by matching with a template. However, mismatching or misidentification may sporadically occur due to the influence of the background pixels included in the designated target model. Taking into account the statistical features of a search region, a novel similarity measure is proposed, which can decrease the interference of the background pixels enclosed in the model. It highlights the significant target features and at the same time reduces the influence of the features shared by both the target and the background. It exhibits an excellent monotonic property and a distinct peak-like distribution. This new measure is also demonstrated to have a direct interpretation of posterior probability and is named as posterior probability measure (PPM). The proposed PPM can be obtained through a pixel-wise computation and exhibits suitability for image matching. The pixel-wise computation also enables a fast measure update after a target region has changed, which results in a new adaptive scaling method for tracking a target with a varying size. Experiments show that it provides a higher precision in the localization and a discriminatory power superior to the existing similarity measures, such as Bhattacharyya coefficient, Kullback-Leibler divergence, and normalized cross correlation. The effectiveness of the adaptive scaling method is demonstrated in experiments.