Visual representation is crucial for visual tracking method׳ s performances. Conventionally,
visual representations adopted in visual tracking rely on hand-crafted computer vision …

The appearance model of the target needs to be updated for online single object tracking.
However, the variation of the observation can be caused by active appearance change of …

Most tracking-by-detection approaches train the classifier in an supervised manner in which
the samples near the tracked object location are labeled positively while those far from the …

This paper presents a cross-modal approach for extracting semantic relationships between
concepts using tagged images. In the proposed method, we first project both text and visual …

Multi-target visual tracking is a challenge because of data association and mutual occlusion
in the interacting targets. This paper presents a Gaussian mixture probability hypothesis …

Tracking methods based on correlation filters have recently attracted attention for achieving
fast tracking. However, their performance is somewhat limited in long-term tracking tasks …

This paper presents a visual object tracking system which is tolerant to external imaging
factors such as illumination, scale, rotation, occlusion and background changes. Specifically …

Canonical correlation analysis (CCA) is a well-known technique to extract common features
from a pair of multivariate data. In uncertain data stream situations, however, it does not …

In the light of the deep analyses of subspace recognition and SIFT recognition, a novel
image recognition based on subspace and SIFT is proposed to provide a recognition from …

Cell tracking is often implemented as cell detection and data association steps. For a
particular detection output it is a challenge to automatically select the best association …