TY - JOUR
AU1 - Kuplyakov, D.
AU2 - Shalnov, E.
AU3 - Konushin, V.
AU4 - Konushin, A.
AB - ISSN 0361-7688, Programming and Computer Software, 2019, Vol. 45, No. 4, pp. 163–170. © Pleiades Publishing, Ltd., 2019. Russian Text © The Author(s), 2019, published in Programmirovanie, 2019, Vol. 45, No. 4. A Distributed Tracking Algorithm for Counting People in Video a,b, a, b, a, D. A. Kuplyakov *, E. V. Shalnov **, V. S. Konushin ***, and A. S. Konushin **** Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, 119899 Russia Video Analysis Technologies, Moscow, 119634 Russia *e-mail: denis.kuplyakov@graphics.cs.msu.ru **e-mail: eshalnov@graphics.cs.msu.ru ***e-mail: vadim@tevian.ru ****e-mail: ktosh@graphics.cs.msu.ru Received February 7, 2019; revised March 18, 2019; accepted March 18, 2019 Abstract—The problem of tracking people in a video stream with the aim of counting them is studied. Modern video surveillance systems, such as the Moscow video surveillance system, use hundreds of thousands of cam- eras. The use of modern methods developed for working on a single computer with an expensive graphical processor is economically inefficient for such large-scale systems. In this paper, a distributed tracking algo- rithm is proposed. It makes it possible to reduce the amount of computational resources due to detecting peo- ple in a sparse set of frames. The detection is performed on servers installed in 
TI - A Distributed Tracking Algorithm for Counting People in Video
JF - Programming and Computer Software
DO - 10.1134/S0361768819040042
DA - 2019-08-06
UR - https://www.deepdyve.com/lp/springer-journals/a-distributed-tracking-algorithm-for-counting-people-in-video-Tqsd0YJm7u
SP - 163
EP - 170
VL - 45
IS - 4
DP - DeepDyve
ER -