Abstract Online Multi-Object Tracking (MOT) has wide applications in time-critical video
analysis scenarios, such as robot navigation and autonomous driving. In tracking-by …

Adaptive tracking-by-detection methods are widely used in computer vision for tracking
arbitrary objects. Current approaches treat the tracking problem as a classification task and …

Robust object tracking is a challenging task in computer vision. To better solve the partial
occlusion issue, part-based methods are widely used in visual object trackers. However, due …

Modeling the target appearance is critical in many modern visual tracking algorithms. Many
tracking-by-detection algorithms formulate the probability of target appearance as …

Structured support vector machine (SSVM) based methods has demonstrated encouraging
performance in recent object tracking benchmarks. However, the complex and expensive …

During the recent years, correlation filters have shown dominant and spectacular results for
visual object tracking. The types of the features that are employed in this family of trackers …

Collaborative Robotics is one of the high-interest research topics in the area of academia
and industry. It has been progressively utilized in numerous applications, particularly in …

In this paper, we propose a novel structural correlation filter (SCF) model for robust visual
tracking. The proposed SCF model takes part-based tracking strategies into account in a …

Sparse representation has been applied to visual tracking by finding the best target
candidate with minimal reconstruction error by use of target templates. However, most …

Presently, sensor-cloud based environment becomes highly beneficial due to its
applicability in several domains. Wireless multimedia sensor network (WMSN) is one among …