TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Jbaili, Khaled
A1  - Thomanek, Jan
T1  - Implementing and Evaluating a Tracking-By-Detection Algorithm for a Camera Monitoring System
T2  - 26. Interdisziplinäre Wissenschaftliche Konferenz Mittweida
N2  - In this paper, we designed, implemented, and tested a special surveillance camera system based on a combination of classical image processing algorithms. The system’s sub-objective consists of tracking experimental vehicles driving on a defined trajectories (Rail) in real time. Furthermore, it analyzes the scene to collect additional vehicles & rail-related information. The system then uses the gathered data to reach its main objective which confines oneself in independently predicting vehicles collision. Consequently, we propose a hybrid method of detecting and tracking ATLAS-vehicles efficiently. To detect the vehicle at the beginning of the video, periodically every n-frame, and in the case where the tracked vehicle has been lost, we used Histogram Back-Projection. By contrast, Kernelized correlation filter is used to track the detected vehicles. Combining these two methods provides one of the best trade-offs between accuracy and speed even on a single processing core. The proposed method achieves the best performance compared with three different approaches on a custom dataset.
KW  - Object Detection and Tracking
KW  - Planar Homography
Y1  - 2021
SN  - 1437-7624
SS  - 1437-7624
U6  - https://doi.org/10.48446/opus-12332
DO  - https://doi.org/10.48446/opus-12332
IS  - 002
SP  - 193
EP  - 204
S1  - 10
PB  - Hochschule Mittweida
CY  - Mittweida
ER  -