Results 241 to 250 of about 385,261 (272)

Connected Component Model for Multi-Object Tracking

IEEE Transactions on Image Processing, 2016
In 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 ...
He, Zhenyu, Li, Xin, You, Xinge, Tao, Dacheng, Tang, Yuan Yan   +4 more
openaire   +3 more sources

Multi-object Tracking System

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, Piotr Garbat, Paweł Ziubiński   +2 more
openaire   +1 more source

Multi-Object Tracking in Video

Real-Time Imaging, 1999
This 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
openaire   +1 more source

Multi-object Tracking

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.
openaire   +1 more source

Joint Detection and Online Multi-object Tracking

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018
Most 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, Hübner, Wolfgang, Arens, Michael   +2 more
openaire   +1 more source

Real-time multi-object tracking

2010
Selected readings in vision and graphics ...
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Sampling-Resilient Multi-Object Tracking

Proceedings of the AAAI Conference on Artificial Intelligence
Multi-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, Dongxiang Zhang, Sai Wu, Mingli Song, Gang Chen   +4 more
openaire   +1 more source

Multi-Object Tracking with Single Camera

Applied Mechanics and Materials, 2015
Multi-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
openaire   +1 more source

Engineering statistics for multi-object tracking

Proceedings 2001 IEEE Workshop on Multi-Object Tracking, 2002
Progress in single-sensor, single-object tracking has been greatly facilitated by the existence of a systematic, rigorous, and yet practical engineering statistics that supports the development of new concepts. Surprisingly, until recently no similar engineering statistics has been available for multi-sensor, multi-object tracking. The author describes
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Machine Learning Methods for Data Association in Multi-Object Tracking

ACM Computing Surveys, 2021
Patrick Emami, Sanjay Ranka
exaly