Results 11 to 20 of about 103,598 (304)
Joint Conditional Random Field Filter for Multi-Object Tracking
International Journal of Advanced Robotic Systems, 2011 Object tracking can improve the performance of mobile robot especially in populated dynamic environments. A novel joint conditional random field Filter (JCRFF) based on conditional random field with hierarchical structure is proposed for multi-object ...
Luo Ronghua, Min Huaqing
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Multi-Object Tracking with Correlation Filter for Autonomous Vehicle
Sensors, 2018 Multi-object tracking is a crucial problem for autonomous vehicle. Most state-of-the-art approaches adopt the tracking-by-detection strategy, which is a two-step procedure consisting of the detection module and the tracking module.
Dawei Zhao +4 more
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Object Initialization in Multiple Object Tracking:A Review [PDF]
Jisuanji kexue, 2022 Object initialization method determines how to treat the multi-object tracking problem,being directly related to the subsequent tracking result.Different object initialization methods confirm different multi-object tracking frameworks and each framework ...
WEN Cheng-yu, FANG Wei-dong, CHEN Wei
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Research on Real-Time Tracking Algorithm for Multi-Objects of Shipboard Aircraft Based on Detection [PDF]
Hangkong bingqi, 2021 For safe guidance and real-time monitoring of the shipboard aircraft during the operation, for traditional detection-based object tracking algorithms has poor tracking performance and susceptibility to interference, proposed the multi-object real-time ...
Tian Shaobing, Zhu Xingdong, Fan Jiali, Wang Zheng
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Survey of Deep Online Multi-object Tracking Algorithms [PDF]
Jisuanji kexue yu tansuo, 2022 Video multi-object tracking is a key task in the field of computer vision and has a wide application prospect in industry, commerce and military fields.
LIU Wenqiang, QIU Hangping, LI Hang, YANG Li, LI Yang, MIAO Zhuang, LI Yi, ZHAO Xinxin
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Referring Multi-Object Tracking
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Existing referring understanding tasks tend to involve the detection of a single text-referred object. In this paper, we propose a new and general referring understanding task, termed referring multi-object tracking (RMOT). Its core idea is to employ a language expression as a semantic cue to guide the prediction of multi-object tracking.
Dongming Wu +5 more
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Fast Timeline Based Multi Object Online Tracking
Transport and Telecommunication, 2023 Fast state-of-the-art multi-object-tracking (MOT) schemes, such as reported in challenges MOT16 and Mot20, perform tracking on a single sensor, often couple tracking and detection, support only one kind of object representation or don’t take varying ...
Hünermund Martin +2 more
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SiamMOT: Siamese Multi-Object Tracking [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 In this paper, we focus on improving online multi-object tracking (MOT). In particular, we introduce a region-based Siamese Multi-Object Tracking network, which we name SiamMOT. SiamMOT includes a motion model that estimates the instance's movement between two frames such that detected instances are associated.
Bing Shuai +4 more
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MeMOT: Multi-Object Tracking with Memory
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 We propose an online tracking algorithm that performs the object detection and data association under a common framework, capable of linking objects after a long time span. This is realized by preserving a large spatio-temporal memory to store the identity embeddings of the tracked objects, and by adaptively referencing and aggregating useful ...
Jiarui Cai +6 more
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Multi-Object Tracking as Attention Mechanism
2023 IEEE International Conference on Image Processing (ICIP), 2023 Accepted to IEEE International Conference on Image Processing (IEEE ICIP ...
Hiroshi Fukui +2 more
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