Proceedings ArticleDOI
A multiple object tracking method using Kalman filter
Xin Li,Kejun Wang,Wei Wang,Yang Li +3 more
- pp 1862-1866
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TLDR
An algorithm of feature-based using Kalman filter motion to handle multiple objects tracking is proposed and shows that the algorithm achieves efficient tracking of multiple moving objects under the confusing situations.Abstract:
It is important to maintain the identity of multiple targets while tracking them in some applications such as behavior understanding. However, unsatisfying tracking results may be produced due to different real-time conditions. These conditions include: inter-object occlusion, occlusion of the ocjects by background obstacles, splits and merges, which are observed when objects are being tracked in real-time. In this paper, an algorithm of feature-based using Kalman filter motion to handle multiple objects tracking is proposed. The system is fully automatic and requires no manual input of any kind for initialization of tracking. Through establishing Kalman filter motion model with the features centroid and area of moving objects in a single fixed camera monitoring scene, using information obtained by detection to judge whether merge or split occurred, the calculation of the cost function can be used to solve the problems of correspondence after split happened. The algorithm proposed is validated on human and vehicle image sequence. The results shows that the algorithm proposed achieves efficient tracking of multiple moving objects under the confusing situations.read more
Citations
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Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey
TL;DR: In this article, a comprehensive overview of various approaches of video processing for object detection and tracking in the maritime environment is presented, where the authors follow an approach-based taxonomy wherein the advantages and limitations of each approach are compared.
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Continuous Manifold Based Adaptation for Evolving Visual Domains
TL;DR: This work proposes a method to consider non-stationary domains, which it refers to as Continuous Manifold Adaptation (CMA), and treats each target sample as potentially being drawn from a different subspace on the domain manifold, and presents a novel technique for continuous transform-based adaptation.
Proceedings ArticleDOI
Image processing techniques for object tracking in video surveillance- A survey
Shipra Ojha,Sachin R. Sakhare +1 more
TL;DR: An overview of tracking strategies like region based, active contour based, etc with their positive and negative aspects is provided, and general strategies under literature survey on different techniques are reviewed.
Proceedings ArticleDOI
Real-Time Clustering and Multi-Target Tracking Using Event-Based Sensors
TL;DR: This work presents a real-time clustering technique that takes advantage of the unique properties of event-based vision sensors that redefines the well-known mean-shift clustering method using asynchronous events instead of conventional frames.
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ReMOT: A model-agnostic refinement for multiple object tracking
TL;DR: A Refining MOT Framework (ReMOT), which first splits imperfect tracklets and then merges the split tracklets with appearance features improved by self-supervised learning, is proposed, which can make significant improvements to state-of-the-art MOT results as powerful post-processing.
References
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Journal ArticleDOI
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Proceedings ArticleDOI
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Proceedings ArticleDOI
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