Real-time Visual Detection and Tracking is Implemented in a Clustered Environment using an Adaptive Kernel-Supported Correlation Filter Algorithm-Reference-Cited by-同舟云学术

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Real-time Visual Detection and Tracking is Implemented in a Clustered Environment using an Adaptive Kernel-Supported Correlation Filter Algorithm

Published:2022-10-10 Issue: Volume: Page:
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Container-title:2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)
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Author:

Kumar T. Vinoth¹,Raj F. Vijay Amirtha¹,Gopinath B.²,Suresh B.³,Tamizharasi S.¹

Affiliation:

1. RVS College of Engineering and Technology,Department of Electrical and Electronics Engineering,Coimbatore,India

2. Christ The King Engineering College,Department of Electrical and Electronics Engineering,Coimbatore,India

3. Angel College of Engineering and Technology,Department of Electrical and Electronics Engineering,Tirupur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9987725/9987727/09987786.pdf?arnumber=9987786

Reference15 articles.

1. Discriminative Object Discovery Toward Personalized Sightseeing Spot Recommendation

2. Vision-based human activity recognition: a survey

3. Active and semi-supervised learning for object detection with imperfect data

4. Support vector machines and object-based classification for obtaining land-use/cover cartography from Hyperion hyperspectral imagery

5. Robust Model Predictive Control Using Linear Matrix Inequalities for the Treatment of Asymmetric Output Constraints;galvao;Journal of Control Science and Engineering,2012

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