A robust and computationally efficient object tracking algorithm is developed by incorporating various tracking techniques. Physical properties of the objects, such as brightness temperature or ...
Generic object detection and tracking are fundamental and challenging tasks in computer vision. For 2D object detection, IMOU proposes an algorithm framework upon structural re-parameterization and ...
Our proposed HOMATracker comprises the following steps: (A) Object detection: A detector is used to locate the objects in each frame; (B) Instance-level appearance feature extraction: We involve a ...
Researchers at the University of Toronto Institute for Aerospace Studies (UTIAS) have introduced a pair of high-tech tools that could improve the safety and reliability of autonomous vehicles by ...