Best view selection and compression of moving objects in IR sequences

Author

Vaswani, Namrata ; Chellappa, Rama

Author_Institution

Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD, USA

Volume

3

fYear

2001

fDate

2001

Firstpage

1617

Abstract

Remote surveillance of battlefields is an important component of future combat systems (FCS). Typically, multiple infra-red (IR) sensors are placed in the field for image acquisition from different orientations. A system for selecting a single best view image chip from an IR video sequence and compression of the chip for transmission is presented. Moving object detection was done using the algorithm described in Shekarforoush et al., (2000). Eigenspace classification has been implemented for best view selection. Fast algorithms for image chip compression have been developed in the wavelet domain by combining a non-iterative zerotree coding method with 2D-DPCM for both low and high frequency subbands and compared against existing schemes

Keywords

data compression; differential pulse code modulation; eigenvalues and eigenfunctions; image sequences; infrared imaging; military computing; military systems; motion estimation; object detection; transform coding; video signal processing; wavelet transforms; 2D-DPCM; IR video sequence; best view selection; eigenspace classification; future combat systems; image acquisition; image chip compression; infra-red sensors; moving object detection; non-iterative zerotree coding; remote battlefield surveillance; wavelet; Automation; Bandwidth; Educational institutions; Frequency; Hardware; Image coding; Image sensors; Surveillance; Video sequences; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.941245

Filename

941245