Vehicle Counting and Detection
Ravula Arun kumar1, D. Sai Tharun Kumar2, K. Kalyan3, B. Rohan Ram Reddy4
1Ravula Arun Kumar, Assistant Professor, Department of IT, Vardhaman College of Engineering, JNTUH, Hyderabad, India.
2D. Sai Tharun Kumar, Student, pursuing final year, Department of IT, Vardhaman College of Engineering, JNTUH, Hyderabad, India.
3K. kalyan , Student, pursuing final year, Department of IT, Vardhaman College of Engineering, JNTUH, Hyderabad, India.
4B. Rohan Ram Reddy, Student, pursuing final year, Department of IT, Vardhaman College of Engineering, JNTUH, Hyderabad.
Manuscript received on May 16, 2020. | Revised Manuscript received on June 05, 2020. | Manuscript published on June 10, 2020. | PP: 763-766 | Volume-9 Issue-8, June 2020. | Retrieval Number: H6696069820/2020©BEIESP | DOI: 10.35940/ijitee.H6696.069820
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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 paper describes about the system to count the number of vehicles on roads and highways by using adaptive background subtraction and blob tracking technologies. Overall, system requires a video stream captured from static cameras installed on roads and highways .The proposed system consists of four stages: 1) Adaptive background subtraction 2) image segmentation 3) vehicle counting 4) vehicle tracking. The necessity of tracing and counting the vehicles is helpful for traffic surveillance. The primary key features of the system are 1) Ability to count the vehicles 2) efficiency, to show that system would give the results with high perfection.
Keywords: Hole editing, Background Subtraction, Virtual Detector, Kalman Filter.
Scope of the Article: Virtual Reality