Titlebook: Neural Information Processing; 24th International C Derong Liu,Shengli Xie,El-Sayed M. El-Alfy Conference proceedings 2017 Springer Interna

Suppository

Correlation Filters with Adaptive Memories and Fusion for Visual Tracking combine these features via a fixed weight. Likewise, these trackers also utilize a fixed learning rate to update their models, which makes CFTs easily drift especially when the target suffers heavy occlusions. To tackle these issues, we propose a dynamic decision fusion strategy to automatically le

Haphazard

A Novel Ant Colony Detection Using Multi-Region Histogram for Object Trackinges smooth tracking on different video sequences, especially with Motion Blur problem. This approach is designed and tested in MATLAB 2016b environment. The experiment result demonstrates better and faster tracking performance and shows continuous tracking trajectory and competitive outcomes regarding to traditional methods.

Culmination

Object Tracking Based on Mean Shift Algorithm and Kernelized Correlation Filter Algorithm to improve the tracking speed as much as possible, our object tracking algorithm works only over one layer. This hybrid algorithm has a good tracking effect on the target fast motion and motion blur. We present extensive experimental results on a number of challenging sequences in terms of efficiency, accuracy and robustness.