Object tracking is regarded as one of the significant topics in the scope of computer vision,
which led to rapid development in the practical field through enhancing the reliable tools …

Multiple object tracking (MOT) remains an open and challenging problem for autonomous
vehicles. Existing methods mainly ignore prior information from real traffic scenes. Here, the …

Defining a multi-target motion model, an important step of tracking algorithms, is a
challenging task due to various factors, from its theoretical formulation to its computational …

Target detection and target tracking play an important role in many scenes. For example,
intelligent monitoring, multi-target tracking in complex environments. This paper designs a …

Unmanned aerial vehicles (UAV) are essential for aerial reconnaissance and monitoring.
One of the greatest challenges facing UAVs is vision-based multi-target tracking. Multi-target …

We present a pedestrian tracking algorithm, DensePeds, that tracks individuals in highly
dense crowds (> 2 pedestrians per square meter). Our approach is designed for videos …

This paper proposes an improvement to the multi-object tracking system framework based
on the image inputs. By analyzing the role and performance of each block in the original …

Featured Application With the rapid advancements in artificial intelligence, Multi-Object
Tracking algorithms play a crucial role in domains such as intelligent transportation, urban …

Standardized benchmarks are crucial for the majority of computer vision applications.
Although leaderboards and ranking tables should not be over-claimed, benchmarks often …

Multi-object tracking (MOT) is a vital component of intelligent video analytics applications
such as surveillance and autonomous driving. The time and storage complexity required to …