The object tracking algorithm using dimensional based detection for public street environment
| Parent link: | Eurasian Physical Technical Journal Vol. 17, No. 2.— 2021.— [P. 123-127] |
|---|---|
| Corporate Author: | |
| Other Authors: | , , , |
| Summary: | Title screen The paper proposes an approach to object tracking for public street environments using dimensional based object detection algorithm. Besides the tracking functionality, the proposed algorithm improves the detection accuracy of the dimensional based object detection algorithm. The proposed tracking approach uses detection information obtained from multiple cameras which are structured as a mesh network. Conducted experiments performed in a real-world environment have shown 10 to 40 percent higher detection accuracy that has proved the proposed concept. The tracking algorithm requires negligible computational resources that make the algorithm especially applicable for low-performance Internet of things infrastructure. |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://doi.org/10.31489/2020No2/123-127 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665154 |
MARC
| LEADER | 00000naa0a2200000 4500 | ||
|---|---|---|---|
| 001 | 665154 | ||
| 005 | 20250128133151.0 | ||
| 035 | |a (RuTPU)RU\TPU\network\36353 | ||
| 035 | |a RU\TPU\network\36139 | ||
| 090 | |a 665154 | ||
| 100 | |a 20210825d2021 k||y0rusy50 ba | ||
| 101 | 0 | |a eng | |
| 102 | |a KZ | ||
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i | |
| 182 | 0 | |a b | |
| 200 | 1 | |a The object tracking algorithm using dimensional based detection for public street environment |f I. G. Matveev, K. A. Karpov, A. V. Yurchenko, E. Siemens | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 14 tit.] | ||
| 330 | |a The paper proposes an approach to object tracking for public street environments using dimensional based object detection algorithm. Besides the tracking functionality, the proposed algorithm improves the detection accuracy of the dimensional based object detection algorithm. The proposed tracking approach uses detection information obtained from multiple cameras which are structured as a mesh network. Conducted experiments performed in a real-world environment have shown 10 to 40 percent higher detection accuracy that has proved the proposed concept. The tracking algorithm requires negligible computational resources that make the algorithm especially applicable for low-performance Internet of things infrastructure. | ||
| 461 | |t Eurasian Physical Technical Journal | ||
| 463 | |t Vol. 17, No. 2 |v [P. 123-127] |d 2021 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a object tracking, smart city | |
| 610 | 1 | |a smart city | |
| 610 | 1 | |a object detection | |
| 610 | 1 | |a street lighting | |
| 610 | 1 | |a отслеживание | |
| 610 | 1 | |a объекты | |
| 610 | 1 | |a Умный город | |
| 610 | 1 | |a уличное освещение | |
| 610 | 1 | |a алгоритмы | |
| 701 | 1 | |a Matveev |b I. G. |g Ivan Grigorjevich | |
| 701 | 1 | |a Karpov |b K. A. |g Kirill Aleksandrovich | |
| 701 | 1 | |a Yurchenko |b A. V. |c physicist |c Professor of Tomsk Polytechnic University, Doctor of Technical Sciences |f 1974- |g Aleksey Vasilievich |3 (RuTPU)RU\TPU\pers\35053 |9 18328 | |
| 701 | 1 | |a Siemens |b E. |g Eduard | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Исследовательская школа физики высокоэнергетических процессов |c (2017- ) |3 (RuTPU)RU\TPU\col\23551 |
| 801 | 2 | |a RU |b 63413507 |c 20210825 |g RCR | |
| 856 | 4 | |u https://doi.org/10.31489/2020No2/123-127 | |
| 942 | |c CF | ||