Results 271 to 280 of about 103,598 (304)

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
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Evaluating Multi-Object Tracking

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops, 2006
Multiple object tracking (MOT) is an active and challenging research topic. Many different approaches to the MOT problem exist, yet there is little agreement amongst the community on how to evaluate or compare these methods, and the amount of literature addressing this problem is limited.
Kevin Smith 0001, Daniel Gatica-Perez, Jean-Marc Odobez, Sileye O. Ba   +3 more
openaire   +1 more source

Interacting Tracklets for Multi-Object Tracking

IEEE Transactions on Image Processing, 2018
In this paper, we propose to exploit the interactions between non-associable tracklets to facilitate multi-object tracking. We introduce two types of tracklet interactions, close interaction and distant interaction. The close interaction imposes physical constraints between two temporally overlapping tracklets and more importantly, allows us to learn ...
Long Lan, Xinchao Wang, Shiliang Zhang, Dacheng Tao, Wen Gao 0001, Thomas S. Huang   +5 more
openaire   +2 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, Pawel Ziubinski   +2 more
openaire   +1 more source

Multi-object tracking of human spermatozoa

SPIE Proceedings, 2008
We propose a system for tracking of human spermatozoa in phase-contrast microscopy image sequences. One of the main aims of a computer-aided sperm analysis (CASA) system is to automatically assess sperm quality based on spermatozoa motility variables.
Lauge Sørensen, Jakob Østergaard, Peter Johansen, Marleen de Bruijne   +3 more
openaire   +2 more sources

Multi-object tracking with distributed sensing

2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2016
One of the main research goals on distributed autonomous agents in a Multi-Agent System is the development of mechanisms to form a better world model using information merging from different agents. In this paper, we present a solution for robust online and real-time multiple object tracking in a multi-agent system using information gathered by various
Ricardo Dias, Nuno Lau, João M. Silva, Gi Hyun Lim   +3 more
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Multi object tracking: a survey

Thirteenth International Conference on Digital Image Processing (ICDIP 2021), 2021
Multiple target tracking (MTT) or multiple object tracking (MOT), which is a key stage operation for many computer vision applications, has relied and it relies on detecting and identifying targets within videos. The objects of these videos may be, for instance, pedestrians, vehicles or animals regardless of the number of targets or their appearance ...
Sara Bouraya, Abdessamad Belangour
openaire   +1 more source

A Robust Framework for Multi-object Tracking

2011
Tracking multiple objects in a scenario exhibit complex interaction is very challenging. In this work, we propose a framework for multi-object tracking in complex wavelet domain to resolve the challenges occurred due to incidents of occlusion and split.
Anand Singh Jalal, Vrijendra Singh
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

Real-time multi-object tracking

2010
Selected readings in vision and graphics ...
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