Automatic moving object extraction toward compact video representation

Jianping Fan; Gen Fujita; Makoto Furuie; Takao Onoye; Isao Shirakawa; Lide Wu

doi:10.1117/1.602382

1 February 2000 Automatic moving object extraction toward compact video representation

Jianping Fan, Gen Fujita, Makoto Furuie, Takao Onoye, Isao Shirakawa, Lide Wu

Optical Engineering, Vol. 39, Issue 2, (February 2000). https://doi.org/10.1117/1.602382

An automatic object-oriented video segmentation and representation algorithm is proposed, where the local variance contrast and the frame difference contrast are jointly exploited for meaningful moving object extraction because these two visual features can indicate the spatial homogeneity of the gray levels and the temporal coherence of the motion fields efficiently. The 2-D entropic thresholding technique and the watershed transformation method are further developed to determine the global feature thresholds adaptively according to the variation of the video components. The obtained video components are first represented by a group of 4x4 blocks coarsely, and then the meaningful moving objects are generated by an iterative region-merging procedure according to the spatiotemporal similarity measure. The temporal tracking procedure is further proposed to obtain more semantic moving objects and to establish the correspondence of the moving objects among frames. Therefore, the proposed automatic moving object extraction algorithm can detect the appearance of new objects as well as the disappearance of existing objects efficiently because the correspondence of the video objects among frames is also established. Moreover, an object-oriented video representation and indexing approach is suggested, where both the operation of the camera (i.e., change of the viewpoint) and the birth or death of the individual objects are exploited to detect the breakpoints of the video data and to select the key frames adaptively.

Citation Download Citation

Jianping Fan, Gen Fujita, Makoto Furuie, Takao Onoye, Isao Shirakawa, and Lide Wu "Automatic moving object extraction toward compact video representation," Optical Engineering 39(2), (1 February 2000). https://doi.org/10.1117/1.602382

Published: 1 February 2000

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

Includes PDF, HTML & Video, when available