Paper
3 May 2012 Image stabilization for moving platform surveillance
Zahir Ahmed Ansari, Somnath Sengupta, Arun Kumar Singh, Avnish Kumar
Author Affiliations +
Abstract
Line of sight jitter degrades the image/real time video quality of a high performance sighting system, resulting in reduced detection/recognition/identification ranges. Line of sight jitter results from residual dynamics on the sighting system from the host platform. A scheme for fine image/video stabilization, in presence of high magnitude line of sight jitter, has been presented in this paper. The proposed scheme is a combination of conventional gyro stabilization of payload line of sight (i.e. Mechanical Image Stabilization-MIS) and Digital Image Stabilization (DIS). Gyro stabilization technique is used to minimize the computation requirement of DIS technique. The proposed technique has been implemented and evaluated using standard hardware (SMT8039). Inclusion of DIS algorithms has given an additional disturbance isolation of at least 10 dB in our experiments, while image smoothness index also improved by a factor of four or more. The proposed method also indicated that higher image smoothness and disturbance isolation are possible at comparatively higher frequencies (limited by computation capability of the computing platform).
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zahir Ahmed Ansari, Somnath Sengupta, Arun Kumar Singh, and Avnish Kumar "Image stabilization for moving platform surveillance", Proc. SPIE 8360, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX, 836009 (3 May 2012); https://doi.org/10.1117/12.919151
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Cited by 1 scholarly publication.
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KEYWORDS
Motion estimation

Video

Video surveillance

Distributed interactive simulations

Cameras

Digital signal processing

Image processing

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