Group Activity Detection: Identifies and classifies activities performed by groups in video sequences or images.; Deep Learning Models: Utilizes state-of-the-art architectures (e.g., CNNs, RNNs, ...

Activity detection is a significant problem in smart video monitoring. The ability to recognize human movement in surveillance footage is a complicated computer vision task, however, owing to the size ...

A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. ... Traffic Signal Violation Detection System using Computer Vision. Project Video ...

Self-reliant technologies as well as fully automated technologies are the few technology behemoths that propel entire disciplines forward by various bounds. Significant advances in technology can be ...

Object detection stands as the spearhead of computer vision in that it allows machines for the first time to perceive and make sense of their surroundings with unparalleled accuracy. Applications, ...

Combining computer vision, brain computer interface for faster mine detection. ScienceDaily . Retrieved May 28, 2025 from www.sciencedaily.com / releases / 2015 / 05 / 150504141855.htm ...

Computer vision can offer valuable insights into students’ posture, their facial orientation, or gesticulation during the team activities, by recording all students’ interactions.

The graph below shows the total number of publications each year in Eggshell Crack Detection Using Computer Vision and Deep Learning. References [1] Defective egg detection based on deep features ...

Walmart has been surveilling its checkout registers using a computer vision technology called Missed Scan Detection to identify when items move past the scanner without having been scanned. As ...