Web13 apr. 2024 · Nowadays, salient object detection methods based on deep learning have become a research focus. Therefore, how to reveal the representation mechanism and association rules of features at different levels and scales in order to improve the accuracy of salient object detection is a key issue to be solved. This paper proposes a salient … Web10 apr. 2024 · Multi-Objective Multi-Camera Tracking (MOMCT) is aimed at locating and identifying multiple objects from video captured by multiple cameras. With the advancement of technology in recent years, it has received a lot of attention from researchers in applications such as intelligent transportation, public safety and self …
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Web18 iul. 2024 · Abstract: The problem of Multiple Object Tracking (MOT) consists in following the trajectory of different objects in a sequence, usually a video. In recent years, with the rise of Deep Learning, the algorithms that provide a solution to this problem have benefited from the representational power of deep models. Web16 mar. 2024 · Using deep learning technology and multi-object tracking method to count vehicles accurately in different traffic conditions is a hot research topic in the field of intelligent transportation. In ... morris coolideas
SSL-MOT: self-supervised learning based multi-object tracking
Web27 mar. 2024 · As a research hotspot and difficulty in the field of computer vision, multi-object tracking technology has received wide attention from researchers. In recent years, the performance of object detection algorithms has been improved due to the rise of deep learning methods, promoting the rapid development of multi-object tracking … Web23 oct. 2024 · Multi-target tracking, a high-level vision job in computer vision, is crucial to understanding autonomous driving surroundings. Numerous top-notch multi-object tracking algorithms have evolved in recent years as a result of deep learning’s outstanding performance in the field of visual object tracking. There have been a … Web5 oct. 2024 · Multi-object tracking (MOT) is a crucial component of situational awareness in military defense applications. With the growing use of unmanned aerial systems (UASs), MOT methods for aerial surveillance is in high demand. Application of MOT in UAS presents specific challenges such as moving sensor, changing zoom levels, dynamic background ... morris cookbooks