Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941245
