In this work a framework to measure the influence of training image resolution on classification performance for appearance-based object detection algorithms is presented. It is shown that based on sampling theory a reasonable image resolution for feature extraction can be chosen in advance, that is prior to the time consuming feature extraction and testing of the classifier. This is possible due to measuring the signal energy that is preserved in a low resolution image with respect to the optimal case of a high resolution image. The approach is justified using an AdaBoost algorithm with Haar-like features for vehicle detection. Tests of classifiers, trained with different resolutions, are performed and the results are presented. These results reveal that there is a good tradeoff between classification performance and computational load. The presented framework helps choosing a resolution for a good description of the training data.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A signal theoretic approach to measure the influence of image resolution for appearance-based vehicle detection


    Contributors:


    Publication date :

    2008-06-01


    Size :

    271059 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Signal Theoretic Approach to Measure the Influence of Image Resolution for Appearance-Based Vehicle Detection

    Haselhoff, A. / Schauland, S. / Kummert, A. | British Library Conference Proceedings | 2008


    Nonextensive information-theoretic measure for image edge detection

    Hamza, A. B. | British Library Online Contents | 2006


    Vehicle body appearance image detection system and method

    DENG XUE / XIE DONG / XIONG CHAO et al. | European Patent Office | 2021

    Free access


    93-3832 Control Theoretic Approach to Air Traffic Conflict Resolution

    Menon, P. / AIAA | British Library Conference Proceedings | 1993