Elements of information theory
Elements of information theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
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)
Object tracking using CamShift algorithm and multiple quantized feature spaces
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
Online Selection of Discriminative Tracking Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking
IEEE Transactions on Image Processing
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This paper presents an adaptive tracking algorithm by online features enhancement. To avoid the distraction of the similar background on tracker, Bayes decision rule is applied to calculate the posterior probability of every pixel belonging to the object and generate a set of candidate confidence maps according to the conditional sample densities from object and background on different features. We evaluate the performance of every candidate confidence map using moment of inertia. Then, an optimal confidence map is selected to be fed to Meanshift which is employed to find the location of the object. At last, we update the target model by the confidence map. Experimental validation of the proposed method is performed and presented on challenging image sequences.