Object Tracking is becoming very popular these days in the computer vision field. It is the
process of tracking an object across a sequence of frames. Deep Sort is a very fast and …

Recent advancements in deep learning and computer vision have benefitted security
systems. Recent object tracking algorithms, in example, have incorporated deep learning in …

Object tracking is fetching a primary set of object identification, allocating a unique ID to
each one of them, and then ensuing each of the objects as they move around frames in a …

This paper proposes an enhanced object tracking architecture based on YOLOv3 and
DeepSORT. YOLOv3 is used for object detection, but in this case, we have only selected the …

With the development and integration of big data and artificial intelligence, intelligent
transportation, video surveillance, and other fields are receiving increasing attention. In the …

Pedestrian tracking is an essential issue in the field of computer vision. Pedestrian tracking
can be applied to safety monitoring in public places, such as airports, stations, shopping …

The rapid development of algorithms for image detection has resulted in broad safety
applications, for example, face recognition and monitoring. However, monitoring in real-time …

The rapid development of image detection algorithm has led to its widespread application in
security, such as facial recognition and crowd surveillance. However, real-time tracking is …

Multiple Object Tracking is a major research field of computer vision due to increasing
demand. Its application has become more and more extensive. The model proposed in this …

Target detection and tracking are crucial in autonomous driving and intelligent
transportation, especially in pedestrians and traffic safety. The dynamic pedestrian tracking …