Multi-target tracking, a high-level vision job in computer vision, is crucial to understanding
autonomous driving surroundings. Numerous top-notch multi-object tracking algorithms …

Existing online multiple object tracking (MOT) algorithms often consist of two subtasks,
detection and re-identification (ReID). In order to enhance the inference speed and reduce …

The quality and safety of medicinal products are related to patients' lives and health.
Therefore, quality inspection takes a key role in the pharmaceutical industry. Most of the …

The major problem in Thailand related to parking is time violation. Vehicles are not allowed
to park for more than a specified amount of time. Implementation of closed-circuit television …

Siamese tracking paradigm has achieved great success, providing effective appearance
discrimination and size estimation by classification and regression. While such a paradigm …

With the widespread use of deep learning in single object tracking task, mainstream tracking
algorithms treat tracking as a combined classification and regression problem. Classification …

Nighttime construction has been widely conducted in many construction scenarios, but it is
also much riskier due to low lighting conditions and fatiguing environments. Therefore, this …

Analyzing the walking behavior of the public is vital for revealing the need for infrastructure
design in a local neighborhood, supporting human-centric urban area development …

This paper concerns the problem of multi-object tracking based on the min-cost flow (MCF)
formulation, which is conventionally studied as an instance of linear program. Given its …

Multiple object tracking (MOT) in unmanned aerial vehicle (UAV) videos is a fundamental
task and can be applied in many fields. MOT consists of two critical procedures, ie, object …