Multi-target tracking algorithm in aquaculture monitoring based on deep learning
X Zhai, H Wei, H Wu, Q Zhao, M Huang - Ocean Engineering, 2023 - Elsevier
In order to analyze fish behavior, real-time underwater fish monitoring is essential. This work
presents an underwater multi-target tracking algorithm for aquaculture monitoring, utilizing …
presents an underwater multi-target tracking algorithm for aquaculture monitoring, utilizing …
Multi-Sensor Fusion for Object Detection and Tracking Under Foggy Weather Conditions
IO Ogunrinde - 2023 - search.proquest.com
In foggy weather conditions, autonomous vehicles suffer reduced maneuverability and
performance due to the degradation in sensor performances. Knowing that object detection …
performance due to the degradation in sensor performances. Knowing that object detection …
基于DeepSort 的动态车辆多目标跟踪方法研究.
何维堃， 彭育辉， 黄炜， 姚宇捷… - Automobile …, 2023 - search.ebscohost.com
为了提高汽车对外界环境信息的感知能力和对动态车辆目标行为的预测能力, 采用YOLOX
作为前端检测器, 结合优化的DeepSort 跟踪算法开展动态车辆多目标跟踪方法研究 …
作为前端检测器, 结合优化的DeepSort 跟踪算法开展动态车辆多目标跟踪方法研究 …
Construction and Research of Multi-Target Tracking Method in Low Light Scene Based on PP-YOLOE+ m and PP-Tracking
L Ma, VY Mariano - 2023 4th International Conference on …, 2023 - ieeexplore.ieee.org
Multi-target tracking in low-light scenes is an important research direction under of computer
vision. Effective multi-target tracking methods in low-light have scenes are of great …
vision. Effective multi-target tracking methods in low-light have scenes are of great …
Improved DeepSORT-Based Object Tracking in Foggy Weather for AVs Using Sematic Labels and Fused Appearance Feature Network
IO Ogunrinde, S Bernadin - 2023 - preprints.org
The presence of fog in the background can prevent small and distant objects from being
detected, let alone tracked. Under safety-critical conditions, multi-object tracking models …
detected, let alone tracked. Under safety-critical conditions, multi-object tracking models …