ManuScript Details
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Paper Id:
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IJCIRAS1656
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Title:
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DETECTION AND INDICATION OF PEDESTRIAN CROSSING ON THE ROAD USING ACF AND KALMAN FILTER
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| Published in: |
International Journal Of Creative and Innovative Research In All Studies |
| Publisher: |
IJCIRAS |
| ISSN: |
2581-5334 |
| Volume / Issue: |
Volume 3 Issue 4 |
| Pages: |
5
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| Published On: |
9/28/2020 9:15:37 PM (MM/dd/yyyy) |
| PDF Url: |
http://www.ijciras.com/PublishedPaper/IJCIRAS1656.pdf |
Main Author Details
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Name:
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Ohn Mar Lwin |
| Institute: |
Myanmar Institute of Information Technology |
Co - Author Details
| Author Name |
Author Institute |
| Thin Lai Lai Thein |
Faculty of Information Science, University of Computer Studies, Yangon, Myanmar |
Abstract
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Research Area:
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Information Technology |
| KeyWord: |
Aggregated Channel features(ACF), Detection, Kalman filter, Sudden Pedestrian Crossing(SPC) |
| Abstract: |
When utilization of vehicles expands, the number of fatalities due to car accidents increases. One of the principle reasons of most lethal crashes are results from Sudden Pedestrian Crossing (SPC). The main purpose of this system is to implement the real time detection of the sudden pedestrian crossing for assisting drivers in avoiding accidents. The proposed technique is mainly proposed video based detection of pedestrian crossing in various poses and with different kinds of clothing are first recognized by Aggregated Channel Features (ACF) detector. At that point, it is precisely localized them with the utilization of a Kalman filter estimator configured as a tracker to detect pedestrian. On identification of pedestrians, the position of the foot of the persons identified and their crossing status shall be determined to signify the pedestrian on the road. Advanced pedestrian crossing detection system proves performance as accuracy and processing speed with high resolution videos while running at a frame rate of 25 frames per second captured from moving vehicle. The target detection algorithm is realized by MATLAB programming language. |
Citations
Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.
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IEEE
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Ohn Mar Lwin, Thin Lai Lai Thein, "DETECTION AND INDICATION OF PEDESTRIAN CROSSING ON THE ROAD USING ACF AND KALMAN FILTER", International Journal Of Creative and Innovative Research In All Studies,
vol. 3, no. 4, pp. 62-66, 2020.
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MLA
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Ohn Mar Lwin, Thin Lai Lai Thein "DETECTION AND INDICATION OF PEDESTRIAN CROSSING ON THE ROAD USING ACF AND KALMAN FILTER." International Journal Of Creative and Innovative Research In All Studies,
vol 3, no. 4, 2020, pp. 62-66.
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APA
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Ohn Mar Lwin, Thin Lai Lai Thein (2020). DETECTION AND INDICATION OF PEDESTRIAN CROSSING ON THE ROAD USING ACF AND KALMAN FILTER. International Journal Of Creative and Innovative Research In All Studies,
3(4), 62-66.
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DETECTION AND INDICATION OF PEDESTRIAN CROSSING ON THE ROAD USING ACF AND KALMAN FILTER
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