Best view selection and compression of moving objects in IR sequences

  • Authors:

  • N. Vaswani;R. Chellappa

  • Affiliations:

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

  • Venue:
  • ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
  • Year:
  • 2001

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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.