Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Probabilistic color matching and tracking of human subjects

Not Accessible

Your library or personal account may give you access

Abstract

Pattern discovery algorithms based on the computational mechanics (CM) method have been shown to succinctly describe underlying patterns in data through the reconstruction of minimum probabilistic finite state automata (PFSA). We apply the CM approach toward the tracking of human subjects in real time by matching and tracking the underlying color pattern as observed from a fixed camera. Objects are extracted from a video sequence, and then raster scanned, decomposed with a one-dimensional Haar wavelet transform, and symbolized with the aid of a red–green–blue (RGB) color cube. The clustered causal state algorithm is then used to reconstruct the corresponding PFSA. Tracking is accomplished by generating the minimum PFSA for each subsequent frame, followed by matching the PFSAs to the previous frame. Results show that there is an optimum alphabet size and segmentation of the RGB color cube for efficient tracking.

© 2010 Optical Society of America

Full Article  |  PDF Article
More Like This
Color spatial feature-based approach for multiple-vehicle tracking

Qi Wei, Zhang Xiong, and Chao Li
Appl. Opt. 49(31) 6043-6056 (2010)

Infrared human tracking with improved mean shift algorithm based on multicue fusion

Xin Wang, Lei Liu, and Zhenmin Tang
Appl. Opt. 48(21) 4201-4212 (2009)

Game theory-based visual tracking approach focusing on color and texture features

Zefenfen Jin, Zhiqiang Hou, Wangsheng Yu, Chuanhua Chen, and Xin Wang
Appl. Opt. 56(21) 5982-5989 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (13)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (1)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (15)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved