Results 321 to 330 of about 711,042 (336)
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2014
The article describes the multi-object tracking system based on new approach to object management after preprocessing and background modeling. Object manager determine correlation between objects in previous and current frame by matching features. For matching features algorithm use color histogram with a small number of bins.
Jacek Zawistowski +2 more
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The article describes the multi-object tracking system based on new approach to object management after preprocessing and background modeling. Object manager determine correlation between objects in previous and current frame by matching features. For matching features algorithm use color histogram with a small number of bins.
Jacek Zawistowski +2 more
openaire +1 more source
Multi-Object Tracking in Video
Real-Time Imaging, 1999This paper reports on tracking of multiple objects using color histogram backprojection and motion cues. Four tasks which facilitate this are discussed. The first is an adaptive color histogram backprojection (which builds upon the works of Swain and Ballard) and its application to tracking of multiple objects in video sequences.
Johnson I Agbinya, David Rees
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GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning
Computer Vision and Pattern Recognition, 20203D Multi-object tracking (MOT) is crucial to autonomous systems. Recent work uses a standard tracking-by-detection pipeline, where feature extraction is first performed independently for each object in order to compute an affinity matrix.
Xinshuo Weng +3 more
semanticscholar +1 more source
Multi-Object Tracking Meets Moving UAV
Computer Vision and Pattern Recognition, 2022Multi-object tracking in unmanned aerial vehicle (UAV) videos is an important vision task and can be applied in a wide range of applications. However, conventional multi-object trackers do not work well on UAV videos due to the challenging factors of ...
Shuai Liu, Xin Li, Huchuan Lu, You He
semanticscholar +1 more source
IEEE Transactions on Pattern Analysis and Machine Intelligence
Many query-based approaches for 3D Multi-Object Tracking (MOT) adopt the tracking-by-attention paradigm, utilizing track queries for identity-consistent detection and object queries for identity-agnostic track spawning.
Shuxiao Ding +3 more
semanticscholar +1 more source
Many query-based approaches for 3D Multi-Object Tracking (MOT) adopt the tracking-by-attention paradigm, utilizing track queries for identity-consistent detection and object queries for identity-agnostic track spawning.
Shuxiao Ding +3 more
semanticscholar +1 more source
2016
We talked about how to obtain features of a sub-image, in the previous chapter. In this chapter, we will discuss the approach to obtain the bounding box of each candidates from a raw video frame and maintain consistent identification for each person in a video sequence, that is, multi-object tracking.
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We talked about how to obtain features of a sub-image, in the previous chapter. In this chapter, we will discuss the approach to obtain the bounding box of each candidates from a raw video frame and maintain consistent identification for each person in a video sequence, that is, multi-object tracking.
openaire +1 more source
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.
Kieritz, Hilke +2 more
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Real-time multi-object tracking
2010Selected readings in vision and graphics ...
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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 +4 more
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Multi-Object Tracking with Single Camera
Applied Mechanics and Materials, 2015Multi-object tracking has been a challenging topic in computer vision. A Simple and efficient moving multi-object tracking algorithm is proposed. A new tracking method combined with trajectory prediction and a sub-block matching is used to handle the objects occlusion. The experimental results show that the proposed algorithm has good performance.
Yu Bing Dong, Ying Sun, Ming Jing Li
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