Conversion of Video Surveillance System into Measurement System Based on Video Camera
Artem Nailevich Ashirov1, Aidar Ildusovich Akhmadiev2, Svetlana Anatolievna Ashirova3, Evgenia Vladimirovna Kabitova4
1Artem Nailevich Ashirov*, Saint-Petersburg National Research University of Information Technologies, Mechanics and Optics, St. Petersburg, Russia.
2Aidar Ildusovich Akhmadiev, Kazan National Research Technical University named after A.N. Tupolev-KAI, Kazan, Russia.
3Svetlana Anatolievna Ashirova, Kazan National Research Technical University named after A.N. Tupolev-KAI, Kazan, Russia.
4Evgenia Vladimirovna Kabitova, Kazan National Research Technical University named after A.N. Tupolev-KAI, Kazan, Russia.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 400-404 | Volume-8 Issue-12, October 2019. | Retrieval Number: L33121081219/2019©BEIESP | DOI: 10.35940/ijitee.L3312.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This work reviews measurement systems applied for static and dynamic detection of object coordinates as well as acquiring information of their position at various distances. The market of measurement systems based on video cameras has been analyzed. Their classification is presented, fields of application are described, advantages and disadvantages are summarized for each type of measurement systems. In addition, it has been revealed that the frequency and extent of measurement errors depend not only on the quality on system components but also on numerous other factors, such as light flare, microvibrations, thermal expansion, etc. The review of measurement systems is necessary for determination of the most efficient method of conversion of video surveillance system into measurement system.
Keywords: Measurement Systems, Video Camera, Navigation, Computer Vision, Images.
Scope of the Article: Computer Vision