Smart cameras are increasingly being deployed in many automotive applications. The in-vehicle environment presents unique challenges to the camera functions and can significantly degrade the performance of smart cameras. In this paper; we present two image processing algorithms that address two of the most common challenges for in-vehicle smart cameras, namely exposure control and motion induced distortion. The proposed algorithms are very efficient and highly suitable for embedded real-time smart cameras. The algorithms were first developed for a real-time in-vehicle automatic license plate recognition smart camera but the techniques are also applicable to many other in-vehicle smart camera applications.


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    Title :

    Image Processing for In-vehicle Smart Cameras


    Contributors:
    Lee, K.F. (author) / Bei Tang, (author)


    Publication date :

    2006-01-01


    Size :

    2846292 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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