Determining the number of pedestrians from video surveillance has become a very important task in recent years. Available techniques in support of this task include regression-based approaches, which have shown a satisfactory performance in estimating this number from a crowd of pedestrians. However, most of these approaches suffer from treating a surveillance video as a sequence of separate frames, resulting in some temporal information being lost. To address this issue, this paper proposes a semisupervised methodology to extract temporal consistency in a continuous sequence of unlabeled frames. In addition to the temporal consistency, this paper also employs spatial consistency in the sum of pedestrians in subgroups, or subblobs, to determine the total number of pedestrians, or the ground truth. This is effectively achieved by incorporating regularization terms in the objective function to account for temporal and spatial consistencies. The experimental results show that the proposed technique, based on temporal and spatial consistencies, is more robust and can be trained with relatively few labeled frames (e.g., ten frames).


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Semisupervised Pedestrian Counting With Temporal and Spatial Consistencies


    Contributors:


    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    55.84 / 55.24 / 55.84 Straßenverkehr / 55.24 Fahrzeugführung, Fahrtechnik



    Semisupervised Pedestrian Counting With Temporal and Spatial Consistencies

    Xia, Wei / Zhang, Junping / Kruger, Uwe | IEEE | 2015


    Pedestrian Counting Methods at Intersections

    Diogenes, Mara Chagas / Greene-Roesel, Ryan / Arnold, Lindsay S. et al. | Transportation Research Record | 2007


    Advances in automated pedestrian counting

    Sexton, G. / Zhang, X. / Redpath, G. et al. | IET Digital Library Archive | 1995


    A new method for pedestrian counting

    Xiaowei Zhang / Sexton, G. | IET Digital Library Archive | 1995


    Real-Time Pedestrian Tracking and Counting with TLD

    Jiawei Shi / Xianmei Wang / Huer Xiao | DOAJ | 2018

    Free access