Quality Assessment of Objects Detection and Localization in а Video Stream

The paper presents a software and hardware system for quality assessment of detection and localization of objects of interest (in most cases, the functional systems of this type coincides with the functionality of television machines), depending on the content of the input video. The development of a generator for recording the input video sequence along the trajectories of objects, the trajectory of the camera and image distortion in the frame is performed. The description of the main modules of the complex is presented. The description of the simulation process in a distributed testing system is given. Client applications can be run on the same computer as the server, and on remote computers

Литература

[1] Boykov V.A., Kolyuchkin V.Ya. Algorithm for object image automatic tracking. Vestn. Mosk. Gos. Tekh. Univ. im. N.E. Baumana, Priborostr. [Herald of the Bauman Moscow State Tech. Univ., Instrum. Eng.], 2017, no. 5, pp. 4--13 (in Russ.). DOI: 10.18698/0236-3933-2017-5-4-13

[2] Voroshilina E.P., Tislenko V.I. Analysis of autotracking methods by range. Izvestiya Tomskogo politekhnicheskogo universiteta. Inzhiniring georesursov [Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering], 2006, no. 8, pp. 67--71 (in Russ.).

[3] Korzunov O.V., Luzhinskiy A.I. Analysis of detection and coordinates measurement algorithms in optoelectronic systems. Izvestiya TulGU. Tekhnicheskie nauki [News of the Tula State University. Technical sciences], 2017, no. 12-3, pp. 164--172 (in Russ.).

[4] Mazo A.M., Markova E.I., Lapteva R.R. Guidance system of tracking radar. Sovremennye problemy proektirovaniya, proizvodstva i ekspluatatsii radiotekhnicheskikh sistem, 2016, no. 1, pp. 105--107 (in Russ.).

[5] Courtney P., Thacker N.A. Performance characterisation in computer vision: the role of statistics in testing and design. Imaging and vision systems. Nova Science Publishers, 2001, pp. 109--128.

[6] Perevalov D.S. Analysis of an object detection and localization algorithms in images with structural noise. Vychislitelnye tekhnologii [Computational Technologies], 2009, vol. 14, no. 1, pp. 94--106 (in Russ.).

[7] Bekirbaev T.O., Bondarenko I.O., Starikova T.A., et al. Tsifrovoy imitator bortovykh radiolokatsionnykh system [Digital simulator of onboard radar system]. Patent 75058 RF. Appl. 24.03.2008, publ. 20.07.2008 (in Russ.).

[8] Sirotin A.I., Mukhin V.V., Nesterov Yu.G., et al. Imitator radiolokatsionnoy tseli [Radar target simulator]. Patent 2412449 RF. Appl. 26.12.2008, publ. 20.02.2011 (in Russ.).

[9] Bakhrushin N.I., Dogadkin V.A., Meshcheryakov V.V., et al. Gruppovoy imitator-trenazher dlya sistemy upravleniya obektami samonavedeniya [Group simulator-simulator of homing object control system]. Patent 39964 RF. Appl. 26.04.2004, publ. 20.08.2004 (in Russ.).