Disjoint track matching based on a major color spectrum histogram representation

Eric Dahai Cheng; Massimo Piccardi

doi:10.1117/1.2730482

1 April 2007 Disjoint track matching based on a major color spectrum histogram representation

Eric Dahai Cheng, Massimo Piccardi

Author Affiliations +

Optical Engineering, Vol. 46, Issue 4, 047201 (April 2007). https://doi.org/10.1117/1.2730482

Abstract

A disjoint track matching algorithm is proposed based on major color spectrum histogram representation (MCSHR) matching and post-matching integration algorithms; this algorithm is useful for reconnecting broken tracks due to occlusions and potentially useful for tracking a single object across multiple, disjoint cameras. An incremental MCSHR (IMCSHR) matching algorithm is also proposed to cope with small pose changes occurring along the track. First, an MCSHR is introduced to represent a moving object by its most frequent colors. Then a two-directional (2-D) similarity measurement algorithm based on the most similar major color searching algorithm is proposed to measure the similarity of the two given moving objects by using IMCSHR in a few frames. Last, our track matching algorithm extends the multiframe matching along the object's tracks by a post-matching integration algorithm. Experimental results have shown that the similarity of two tracks from the same moving objects has proven as high as 89 to 97%, while the similarity of two tracks from different moving objects has been kept as low as 14 to 54%. The post-matching integration algorithm has been proven to be able to make track matching more robust and reliable.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Eric Dahai Cheng and Massimo Piccardi "Disjoint track matching based on a major color spectrum histogram representation," Optical Engineering 46(4), 047201 (1 April 2007). https://doi.org/10.1117/1.2730482

Published: 1 April 2007

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE