In modern digital world one of the most challenging issue is the detection of moving object in a video frame and further tracking it. Same thing becomes more and more difficult when we replace these moving objects with a moving vehicle on a road. With the increasing number of vehicles the traffic monitoring system has become a very vast field for research. Although there already have been many works done in the field however our paper presents a very simple approach for detecting vehicles in urban traffic scenes by means of background subtraction and Linear Quadratic Estimation (LQE). In our proposed system, a video is taken and then the video is subtracted into masks to detect the vehicles. Binary Morphological operation is used to remove the noise from the video. Simple Linear Quadratic Estimation (LQE) is then used to predict the vehicle path and count all detected vehicles. Our proposed method is less complex and acquires almost 99% result successfully.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vehicle detection, tracking and counting using linear quadratic estimation technique


    Beteiligte:


    Erscheinungsdatum :

    01.01.2018


    Format / Umfang :

    497258 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Real Time Vehicle Detection, Tracking and Counting Using Raspberry-Pi

    Kulkarni, Apeksha P / Baligar, Vishwanath P | IEEE | 2020



    TrackNCount - Intelligent Vehicle Tracking, Counting, and Speed Estimation Using YOLOv8 and DeepSORT Algorithms

    Sathiyaprasad, B. / Reddy, Paluru Ambareesh Ram / Venkatesh, Digumalla Manisri | IEEE | 2025


    Spatiotemporal Vehicle Tracking, Counting and Classification

    Ramanathan, Abirami / Chen, Min | IEEE | 2017


    Real-time Vehicle Detection, Tracking and Counting System Based on YOLOv7

    Rouf, Md Abdur / Wu, Qing / Yu, Xiaoyu et al. | DataCite | 2023

    Freier Zugriff