YOLOv3 and YOLOv4 implementation in TensorFlow 2.x, with support for training, transfer training, object tracking mAP and so on... Code was tested with following ...
This repository contains my object detection and tracking projects. All of these can be hosted on a cloud server. You can also use your own IP cameras with asynchronous processing thanks to ImageZMQ.
Abstract: Multi-drone single object tracking is a key technology in Internet of Things-based aerial sensing systems. However, existing methods often neglect both temporal continuity of the object ...
THT-Net: A Novel Object Tracking Model Based on Global-Local Transformer Hashing and Tensor Analysis
Abstract: The object point clouds acquired by the original LiDAR are inherently sparse and incomplete, resulting in suboptimal single object tracking (SOT) precision for 3D bounding boxes, especially ...
Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.
This study aimed to examine whether high-level basketball players exhibit superior multi-object tracking abilities compared to low-level basketball players using the three-dimensional multi-object ...
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