Abstract: Compared with real-time multi-object tracking (MOT), offline multi-object tracking (OMOT) has the advantages to perform 2D-3D detection fusion, erroneous link correction, and full track ...
Monitoring vehicles and pedestrians is crucial for traffic analysis, road safety, and smart city applications. This project integrates YOLOv8 for fast object detection, DeepSORT for robust ...
object-tracking-opencv/ │ ├── assets/ │ ├── banner.png │ └── sample_output.png │ ├── main/ # Initial Demo & Tracker Comparison │ ├── intro_demo.py │ └── comparison.py │ ├── trackers/ # Different types ...
Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...
Objective: 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 ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of Microsoft and Huazhong University researchers this week ...
Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.
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 ...
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