Paper
25 February 2005 Real-time implementation of zoom tracking on TI DM processor
Venkat R. Peddigari, Nasser Kehtarnavaz, Sang-Yong Lee, G. Cook
Author Affiliations +
Proceedings Volume 5671, Real-Time Imaging IX; (2005) https://doi.org/10.1117/12.583354
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
Consumer demand for fast and accurate zoom tracking has increased in the Digital Still Camera (DSC) market. Consumers desire a DSC that automatically performs zoom tracking in order to maintain the image sharpness when the zoom lens is moved towards wide-angle or tele-angle directions. Zoom tracking involves the estimation of the in-focus motor position over all zooms based on a current in-focus position before the zoom lens is moved in either direction. Normally, a zoom tracking curve is utilized to automatically track the focus motor position when the zoom lens is moved. This paper discusses and compares the real-time implementation of two widely used zoom tracking algorithms, namely geometric zoom tracking (GZT) and adaptive zoom tracking (AZT), on the Texas Instruments (TI) digital media (DM) processor. This processor is a highly integrated, programmable dual-core processor manufactured by TI specifically for the DSC market. Our previously developed rule-based search algorithm is used to perform auto-focusing over the vicinity of the tracked focus motor position when the zoom lens is halted. This is done to regain any loss in accuracy during zoom tracking. Extensive testing was carried out to examine the performance of these algorithms in terms of tracking accuracy and speed. The results show that AZT generates a better tracking accuracy while GZT provides a faster tracking speed.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Venkat R. Peddigari, Nasser Kehtarnavaz, Sang-Yong Lee, and G. Cook "Real-time implementation of zoom tracking on TI DM processor", Proc. SPIE 5671, Real-Time Imaging IX, (25 February 2005); https://doi.org/10.1117/12.583354
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Zoom lenses

Detection and tracking algorithms

Cameras

Atrial fibrillation

Digital signal processing

Digital cameras

Video

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