Feature extraction is a key point of pattern recognition. Wavelet features are attractive for vehicle detection because they form a compact representation, encode edges, capture information from multi-resolution, and can be computed efficiently. This paper focuses on the improvement of wavelet features. Currently, the wavelet features directly based on signed coefficients are easily affected by the varied surroundings and illumination conditions and cause high intra-class variability. In order to deal with this problem, three improved approaches based on unsigned coefficients are proposed. The results of these proposed approaches are compared with the current three methods. The proposed approaches show super performance under various illuminations and different roads (different day time, different scenes: highway, urban common road, urban narrow road).


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Improved Haar Wavelet Feature Extraction Approaches for Vehicle Detection


    Beteiligte:
    Wen, Xuezhi (Autor:in) / Yuan, Huai (Autor:in) / Yang, Chunyang (Autor:in) / Song, Chunyan (Autor:in) / Duan, Bobo (Autor:in) / Zhao, Hong (Autor:in)


    Erscheinungsdatum :

    2007-09-01


    Format / Umfang :

    609040 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    An improved wavelet feature extraction approach for vehicle detection

    Xuezhi Wen, / Huai Yuan, / Wei Liu, et al. | IEEE | 2007


    Four Level Haar Transform Architecture for Feature Extraction

    Flores-Flores, Roy / Tecpanecatl-Xihuitl, J. Luis / Aguilar-Ponce, Ruth M. et al. | IEEE | 2015


    Radar-vision fusion for vehicle detection by means of improved Haar-like feature and AdaBoost approach

    Haselhoff, Anselm / Kummert, Anton / Schneider, Georg | Tema Archiv | 2007


    Spherical-Orthogonal-Symmetric Haar Wavelet for Driver's Visual Detection

    Hou, Yuhong / Wu, Edmond Q. / Cao, Zhengtao et al. | IEEE | 2023


    Facial expression recognition based on Haar-like feature detection

    Panning, A. / Al-Hamadi, A. K. / Niese, R. et al. | British Library Online Contents | 2008