We propose a combination of optical tracker, Probability Hypothesis Density (PHD) Filter and group tracking for tracking vehicle head lights and tail lights from an in vehicle, forward facing camera. We propose these systems are advantageous, because they can bridge several frames without outside detections and lead to more stable tracks than just using a traditional tracker, like a Kalman filter, on it's own. Additionally PHD does not need track-data association, but moves association uncertainty into the tracker, where it can be incorporated in covariance and noise calculations. Evaluation is performed with a closed source detector and a private data set. This evaluation proves the stability of the tracks and the trackers ability to bridge large amounts of time without external detections. This makes it a suitable choice for high difficulty situations that lead to the external detector missing light sources.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Combinatorial use of optical tracker, Gaussian Mixture PHD and group tracking for vehicle light tracking


    Contributors:


    Publication date :

    2019-06-01


    Size :

    666192 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Improved Gaussian Mixture CPHD Tracker for Multitarget Tracking

    Cheng Ouyang, / Hong-Bing Ji, / Ye Tian, | IEEE | 2013


    Vehicle tracker and tracking method thereof

    ZHUANG SHAOHUA / CHEN WENMING / JIANG CHANGBEI | European Patent Office | 2015

    Free access

    Driver face tracking using Gaussian mixture model(GMM)

    Zhu, Y. / Fujimura, K. | Tema Archive | 2003



    Maneuvering target tracking: A Gaussian mixture based IMM estimator

    Laneuville, Dann / Bar-Shalom, Yaakov | IEEE | 2012