Search Results - JDE multi-object tracking algorithm

JDE multi-object tracking algorithm integrating multi-level semantic enhancement by WANG, Jun, WANG, Peng, LI, Xiaoyan, WANG, Liang, SUN, Mengyu, GAO, Hui

“…(joint detection and embedding) algorithm, an improved multi-target tracking algorithm based on JDE is proposed in this paper…”
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JDE multi-object tracking algorithm integrating multi-level semantic enhancement by WANG, Jun, WANG, Peng, LI, Xiaoyan, WANG, Liang, SUN, Mengyu, GAO, Hui

“…(joint detection and embedding) algorithm, an improved multi-target tracking algorithm based on JDE is proposed in this paper…”
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Pedestrian Angle Recognition Based on JDE Multi-object Tracking Algorithm by Yang, Chunde, Xu, Tongyao, Lv, Minghong, Yu, Yi, Jiang, Xiaoming

“… Specifically, we added a new classification branch based on the JDE multi-object tracking algorithm…”
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An Improved Multi-Object Tracking Algorithm Designed for Complex Environments by Liu, Wuyuhan, Yao, Jian, Jiang, Feng, Wang, Meng

“…Multi-object tracking (MOT) algorithms are a key research direction in the field of computer vision…”
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ReIMOT: Rethinking and Improving Multi-object Tracking Based on JDE Approach by Hou, Haoxiong, Zhang, Ximing, Sun, Zhonghan, Gao, Wei

“…The multi-object tracking (MOT) algorithms of the joint detection and embedding (JDE) approach estimate bounding boxes and re-identification…”
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TMTB: Transformer based multi-task branching multi-object tracking algorithm for wide-view scenes by Li, Hongjun, Li, Jiaxin

“… In order to enable the tracking algorithm to adapt to wide-angle target scenes and fully utilize the acquired information, we propose a transformer based multi-task branching multi-object tracking algorithm named TMTB…”
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Efficient Single-Shot Multi-Object Tracking for Vehicles in Traffic Scenarios by Lee, Youngkeun, Lee, Sang-ha, Yoo, Jisang, Kwon, Soonchul

“…Multi-object tracking is a significant field in computer vision since it provides essential information for video surveillance and analysis…”
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Tracking and Behavior Analysis of Group-Housed Pigs Based on a Multi-Object Tracking Approach by Tu, Shuqin, Du, Jiaying, Liang, Yun, Cao, Yuefei, Chen, Weidian, Xiao, Deqin, Huang, Qiong

“… This study aimed to develop a robust multi-object tracking (MOT) approach named YOLOv8 + OC-SORT(V8-Sort) for the automatic monitoring of the different behaviors of group-housed pigs…”
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Multi-object tracking with scale-aware transformer and enhanced association strategy by Xiang, Xuezhi, Zhou, Xiankun, Wang, Xinyao, Zhai, Mingliang, El Saddik, Abdulmotaleb

“…Multiple Object Tracking (MOT) is an important task in computer vision. The effectiveness of existing MOT methods can be easily hurt by multi-scale objects and extreme occlusions in the tracking process…”
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Self-supervised multi-object tracking based on metric learning by Feng, Xin, Liu, Yan, Yang, Hanzhi, Jiao, Xiaoning, Liu, Zhi

“… In this paper, we propose a new self-supervised multi-object tracking based on the real-time joint detection and embedding (JDE…”
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CCDMOT: An Optimized Multi-Object Tracking Method for Unmanned Vehicles Pedestrian Tracking by Liang, Jingfeng, Xiong, Aimin, Wu, Yuqi, Huang, Weizhao, Zhang, Hongbin

“…Multi-object tracking (MOT) is pivotal for under-standing environments in which unmanned vehicles function…”
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Enhanced camera-based individual pig detection and tracking for smart pig farms by Guo, Qinghua, Sun, Yue, Orsini, Clémence, Bolhuis, J. Elizabeth, de Vlieg, Jakob, Bijma, Piter, de With, Peter H.N.

“… First, three state-of-the-art deep learning-based Multi-Object Tracking (MOT) methods are investigated, namely Joint Detection and Embedding (JDE…”
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A FairMOT approach based on video recognition for real-time automatic incident detection on expressways by Xiao, Daiquan, Wang, Zeyu, Shen, Zhenwu, Xu, Xuecai, Ma, Changxi

“… tracking effect, and the accuracy is better than the current mainstream algorithms listed above…”
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A Camera Movement Guidance Method based on Multi-Object Tracking by Liu, Puchun, Li, Botao, Bi, Sheng, Li, Muye, Zheng, Chenxi

“…Multi-object tracking (MOT) attracts great attention in computer vision while playing an increasingly essential role in manufacturing and life…”
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融合多阶语义增强的JDE多目标跟踪算法 by 王俊, 王鹏, 李晓艳, 王梁, 孙梦宇, 郜辉

“…TP391.9; 为了解决联合检测和嵌入(JDE)算法中目标遮挡以及ID信息与位置信息提取不足造成的目标ID切换问题,提出了融合多阶语义增强的JDE多目标跟踪方法.采用SPA特征空间金字塔注意力模块扩大感受野,获得更丰富的语义信息,提高模型对不同尺度目标的检测精度;通过FCN网络使检测头和ID Embedding任务…”
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