Ambulance Detection using Cross Correlation Technique
M.Ferni Ukrit1, J.S.Femilda Josephin2, A.Alice Nithya3
1M.Ferni Ukrit, Department of Software Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2J.S.Femilda Josephin, Department of Software Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3A.Alice Nithya, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 443-446 | Volume-8 Issue-5, March 2019 | Retrieval Number: E3052038519/19©BEIESP
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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: The discovery of automobiles have reduced the travelling time considerably but in recent times the outburst in vehicle usage and unprecedented planning of infrastructure activities regarding the future vehicular occupancy on road has lead to traffic accumulation on roads their by making it difficult for ambulances and other vehicles to reach the destination of time there by costing people their valuable human life. The proposed system helps in detecting the ambulance when it reaches a signal junction, their by clearing the signal in the path of the ambulance once the detection as taken place. It reduces the delay time to large extent and also ensures the safe flow of traffic when the ambulance passes the junction their reducing manual escorting efforts. The system converts the video feed provided to it into frames and takes frames at a specific interval then checks for the presence of the standard template in the given frame by using cross correlation technique and upon match the system detects the ambulance, else repeats it after specific interval of time.
Keyword: Video, Template, Cross Correlation.
Scope of the Article: Knowledge Engineering Tools and Techniques