Results 281 to 290 of about 103,598 (304)
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Multi-Object Tracking Analysis
2021In situ microscopes are capable of imaging the transient dynamics of material processes at the nano-scale spatial resolution. The resulting material images contain the structures of material objects that change over the course of a material process. If one is interested in knowing how a population of material objects is collectively evolved in their ...
Chiwoo Park, Yu Ding
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Connected Component Model for Multi-Object Tracking
IEEE Transactions on Image Processing, 2016In multi-object tracking, it is critical to explore the data associations by exploiting the temporal information from a sequence of frames rather than the information from the adjacent two frames. Since straightforwardly obtaining data associations from multi-frames is an NP-hard multi-dimensional assignment (MDA) problem, most existing methods solve ...
Zhenyu He 0001 +4 more
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Joint Detection and Online Multi-object Tracking
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018Most multiple object tracking methods rely on object detection methods in order to initialize new tracks and to update existing tracks. Although strongly interconnected, tracking and detection are usually addressed as separate building blocks. However both parts can benefit from each other, e.g.
Hilke Kieritz +2 more
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Sampling-Resilient Multi-Object Tracking
Proceedings of the AAAI Conference on Artificial IntelligenceMulti-Object Tracking (MOT) is a cornerstone operator for video surveillance applications. To enable real-time processing of large-scale live video streams, we study an interesting scenario called down-sampled MOT, which performs object tracking only on a small subset of video frames.
Zepeng Li 0002 +4 more
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Multi-object tracking for horse racing
Information Sciences, 2023Wing W. Y. Ng +5 more
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Relational Prior for Multi-Object Tracking
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021Artem Moskalev +2 more
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Machine Learning Methods for Data Association in Multi-Object Tracking
ACM Computing Surveys, 2021Patrick Emami +2 more
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Multi-Object Tracking with mmWave Radar: A Review
Electronics (Switzerland), 2023André Pearce, J Andrew Zhang
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Online multi-object tracking using multi-function integration and tracking simulation training
Applied Intelligence, 2021Jinlong Yang, Yubing Tong, Shuzhi Su
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JDAN: Joint Detection and Association Network for Real-Time Online Multi-Object Tracking
ACM Transactions on Multimedia Computing, Communications and Applications, 2023Haidong Wang, Xuan He, Zhiyong Li
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