Robust Feedback Zoom Tracking for Digital Video Surveillance
Zoom tracking is an important function in video surveillance, particularly in traffic management and security monitoring. It involves keeping an object of interest in focus during the zoom operation. Zoom tracking is typically achieved by moving the zoom and focus motors in lenses following the so-c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2012-06-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/12/6/8073 |
| _version_ | 1828739608403247104 |
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| author | Jin Wang Jihong Chen Bao Song Xiaoqi Tang Tengyue Zou |
| author_facet | Jin Wang Jihong Chen Bao Song Xiaoqi Tang Tengyue Zou |
| author_sort | Jin Wang |
| collection | DOAJ |
| description | Zoom tracking is an important function in video surveillance, particularly in traffic management and security monitoring. It involves keeping an object of interest in focus during the zoom operation. Zoom tracking is typically achieved by moving the zoom and focus motors in lenses following the so-called “trace curve”, which shows the in-focus motor positions versus the zoom motor positions for a specific object distance. The main task of a zoom tracking approach is to accurately estimate the trace curve for the specified object. Because a proportional integral derivative (PID) controller has historically been considered to be the best controller in the absence of knowledge of the underlying process and its high-quality performance in motor control, in this paper, we propose a novel feedback zoom tracking (FZT) approach based on the geometric trace curve estimation and PID feedback controller. The performance of this approach is compared with existing zoom tracking methods in digital video surveillance. The real-time implementation results obtained on an actual digital video platform indicate that the developed FZT approach not only solves the traditional one-to-many mapping problem without pre-training but also improves the robustness for tracking moving or switching objects which is the key challenge in video surveillance. |
| first_indexed | 2024-04-13T00:25:23Z |
| format | Article |
| id | doaj.art-26ef6d8e8fc34c7dbf3c8ad7b80aa4fa |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T00:25:23Z |
| publishDate | 2012-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-26ef6d8e8fc34c7dbf3c8ad7b80aa4fa2022-12-22T03:10:37ZengMDPI AGSensors1424-82202012-06-011268073809910.3390/s120608073Robust Feedback Zoom Tracking for Digital Video SurveillanceJin WangJihong ChenBao SongXiaoqi TangTengyue ZouZoom tracking is an important function in video surveillance, particularly in traffic management and security monitoring. It involves keeping an object of interest in focus during the zoom operation. Zoom tracking is typically achieved by moving the zoom and focus motors in lenses following the so-called “trace curve”, which shows the in-focus motor positions versus the zoom motor positions for a specific object distance. The main task of a zoom tracking approach is to accurately estimate the trace curve for the specified object. Because a proportional integral derivative (PID) controller has historically been considered to be the best controller in the absence of knowledge of the underlying process and its high-quality performance in motor control, in this paper, we propose a novel feedback zoom tracking (FZT) approach based on the geometric trace curve estimation and PID feedback controller. The performance of this approach is compared with existing zoom tracking methods in digital video surveillance. The real-time implementation results obtained on an actual digital video platform indicate that the developed FZT approach not only solves the traditional one-to-many mapping problem without pre-training but also improves the robustness for tracking moving or switching objects which is the key challenge in video surveillance.http://www.mdpi.com/1424-8220/12/6/8073zoom trackingvideo surveillancefocus valuefocus controlPID feedback |
| spellingShingle | Jin Wang Jihong Chen Bao Song Xiaoqi Tang Tengyue Zou Robust Feedback Zoom Tracking for Digital Video Surveillance Sensors zoom tracking video surveillance focus value focus control PID feedback |
| title | Robust Feedback Zoom Tracking for Digital Video Surveillance |
| title_full | Robust Feedback Zoom Tracking for Digital Video Surveillance |
| title_fullStr | Robust Feedback Zoom Tracking for Digital Video Surveillance |
| title_full_unstemmed | Robust Feedback Zoom Tracking for Digital Video Surveillance |
| title_short | Robust Feedback Zoom Tracking for Digital Video Surveillance |
| title_sort | robust feedback zoom tracking for digital video surveillance |
| topic | zoom tracking video surveillance focus value focus control PID feedback |
| url | http://www.mdpi.com/1424-8220/12/6/8073 |
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