The advances of Visual object tracking tasks in computer vision have enabled a growing
value in its application to video surveillance, particularly in a traffic scenario. In recent years …

Introduction Hand gestures are an effective communication tool that may convey a wealth of
information in a variety of sectors, including medical and education. E-learning has grown …

For nearly 100 years, electronic bee counters have been developed using various
technologies to track the foraging activity of mostly honey bee colonies. These counters …

Every year, the number of vehicles on the road will be increasing. as claimed by a road
transport department (JPJ) data in Malaysia, there were around 31.2 million units of motor …

Multi-Object Tracking (MOT) is a challenging task in the complex scene such as surveillance
and autonomous driving. In this paper, we propose a novel tracklet processing method to …

Crowd tracking and analysis of crowd behavior is a challenging research area in computer
vision. In today's crowded environment manual surveillance systems are inefficient, labor …

The development of crops with deeper roots holds substantial promise to mitigate the
consequences of climate change. Deeper roots are an essential factor to improve water …

Most of the existing multiple object tracking (MOT) methods employ the tracking-by-detection
framework. Among them, the min-cost network flow optimization techniques become the …

Hundreds of fatal accidents occur each year due to wrong‐way driving (WWD). Although
several methods have been developed to detect WWD using existing closed‐circuit …

Sensor data fusion is essential for environmental perception within smart traffic applications.
By using multiple sensors cooperatively, the accuracy and probability of the perception are …