In order to overcome the problem, by taking the merit from asymmetric kernel template, Liu et al. [12] propose an eigenshape kernel-based mean shift tracking algorithm to handle the scale changes of tracked objects.
Daneyko said he was injured when he turned sharply in his third shift tracking down the puck in an icing situation for Florida.
Standard mean shift tracking is working with a symmetric kernel.
Beside that, standard mean shift tracking also tends to track only a part of the object.
Thus, the Auto GMM-SAMT tracking unit is much more robust than standard mean shift tracking.
Mean shift tracking discriminates between a target model in frame and a candidate model in frame.
Table 3 Recall and Precision and measure of standard mean shift tracking and GMM-SAMT.
However, GMM-SAMT and Auto GMM-SAMT also outperform the standard mean shift tracking in all other cases.
Furthermore, in the tracking part, a novel adaptive shape kernel based mean shift tracking algorithm is proposed to improve object tracking performance under object deformation and background clutter.
This paper presents a hardware/software co-design architecture for implementation of the well-known kernel based mean shift tracking algorithm.
