Choice Of Distance Metrics in DBSCAN Based Color Template Matching Applied to Real-Time Human Shoe Detection

Brahma, D and Paral, P and Chatterjee, A (2023) Choice Of Distance Metrics in DBSCAN Based Color Template Matching Applied to Real-Time Human Shoe Detection. In: 2nd International Conference on Computational Systems and Communication, ICCSC 2023, 3- 4 March 2023, Thiruvananthapuram.

PDF ICCSC_2023.pdf - Published Version Restricted to Registered users only Download (2MB) | Request a copy

Abstract

In human-robot collaborative environments, human subject detection and tracking is one of the most pertinent problems in recent times. In some of our recent works, we have demonstrated how this problem can be addressed from a vision sensor-based perspective, by utilizing general-purpose template matching algorithms for the purpose. A state-of-the-art such algorithm, namely the FAsT-Match, and its improved variant for RGB color images, termed the CFAsT-Match, can be successfully implemented in real robots for the purposes of visual human shoe detection, during people following. The CFAsT-Match involves the use of a popular density-based clustering algorithm, named DBSCAN, to form irregular-shaped clusters of the template image pixels. In this paper, we have presented a detailed study, where we implement various distance metrics while clustering the template image using the DBSCAN algorithm, and investigate the effects on the final detection outcomes.

Item Type:	Conference Paper
Publication:	ICCSC 2023 - Proceedings of the 2nd International Conference on Computational Systems and Communication
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc.
Keywords:	CFAsT-Match; DBSCAN clustering; distance metrics; Human-robot coexistence; shoe detection; template matching.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	24 Jul 2023 05:22
Last Modified:	24 Jul 2023 05:22
URI:	https://eprints.iisc.ac.in/id/eprint/82541

Actions (login required)

View Item