Application of Crowd Simulations in the Evaluation of Tracking Algorithms

Sensors

Paweł Foszner¹  Dominik Golba¹  Agnieszka Michalczuk¹  Andrzej Polański¹  Karol Kostorz¹  Kamil Wereszczyński¹  Michał Cogiel¹  Michał Staniszewski¹  Konrad Wojciechowski² 

[1] Department of Computer Graphics, Vision and Digital Systems, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 2A, 44-100 Gliwice, Poland;Polish-Japanese Academy of Information Technology, Koszykowa 86, 02-008 Warszawa, Poland;

关键词: tracking multiple objects;    visual object tracking;    urban data collection;    video acquisition;    image processing;    crowd simulations;   

DOI  :  10.3390/s20174960

来源: DOAJ

【 摘 要 】

Tracking and action-recognition algorithms are currently widely used in video surveillance, monitoring urban activities and in many other areas. Their development highly relies on benchmarking scenarios, which enable reliable evaluations/improvements of their efficiencies. Presently, benchmarking methods for tracking and action-recognition algorithms rely on manual annotation of video databases, prone to human errors, limited in size and time-consuming. Here, using gained experiences, an alternative benchmarking solution is presented, which employs methods and tools obtained from the computer-game domain to create simulated video data with automatic annotations. Presented approach highly outperforms existing solutions in the size of the data and variety of annotations possible to create. With proposed system, a potential user can generate a sequence of random images involving different times of day, weather conditions, and scenes for use in tracking evaluation. In the design of the proposed tool, the concept of crowd simulation is used and developed. The system is validated by comparisons to existing methods.

【 授权许可】

Unknown