This project presents a hybrid object tracking algorithm that combines deep-learning–based object detection model (YOLOv8n) with a classical computer vision tracker (KCF), supported by data-driven ...
Microsoft's own OneVision Video Recognizer may be novel, but if the folks in Redmond are seriously looking to take things next-level, they should probably cast their gaze across the pond. Zdenek Kalal ...
I just saw a video demonstrating a new object tracking algorithm developed as part of a Ph.D project. Zdenek Kalal is a Czech student at the University of Surrey in the United Kingdom. He demonstrated ...
This project aims to develop a robust object tracking system capable of detecting and tracking multiple moving objects (such as cars, people, and other entities) across video frames in real-time. The ...
Toshiba Corporation and MIRISE Technologies have demonstrated the first deployment of a quantum‑inspired optimization ...
Abstract: With the rapid advancements of computer vision technology, the application of multi-object tracking in complex scenes is receiving increasing attention. For example, occlusion and appearance ...
Abstract: Existing dynamic scene visual SLAM methods indiscriminately remove feature points on dynamic target bounding boxes when using object detection algorithms to detect prior targets, resulting ...
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