Morphology based moving vehicle detection
- Resource Type
- Conference
- Authors
- Pawar, Bhushan; Humbe, Vikas T.; Kundnani, Laxmikant
- Source
- 2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC) Big Data Analytics and Computational Intelligence (ICBDAC), 2017 International Conference on. :217-223 Mar, 2017
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Vehicle detection
Transforms
Image edge detection
Object tracking
Algorithm design and analysis
Cameras
Roads
Median Filter
Traffic surveillance
Thresholding
Edge Detection
- Language
Detection of vehicles is the most imperative domain in recent years. It performs vital role in civilian and military application, vehicle tracking is one of the major application in defense sector. Traffic planning, city planning, traffic surveillance and control are the fundamental application in civilian sector. This research paper introduces morphological techniques for video vehicle detection which are based on Morphological approach. Literature survey presents recent work on vehicle detection techniques on vision based vehicle detection using sensors. Tracking the vehicle motion and recognize their features has been rising research area in the field of computer vision and image processing. Analysis of traffic images perform following steps: • Fragmentation of frames • Morphological operation on frames • Vehicle counting.