Image Segmentation for One Way Video Traffic Using Background Substraction Method
| Main Authors: | Maslim, Martinus, Dwiandiyanta, B. Yudi, Epardi, Jourgi |
|---|---|
| Format: | Proceeding PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2017
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| Subjects: | |
| Online Access: |
http://e-journal.uajy.ac.id/21618/1/2%20Image%20Segmentation%20for%20One%20Way.pdf http://e-journal.uajy.ac.id/21618/ |
Daftar Isi:
- Current technological developments are experiencing a rapid increase, one of the areas that have increased is pattern recognition. Data or information of movement process of an object can be presented in video form. Video is a composite image / dead images that are read sequentially at a time with a certain speed. Image is something that describes the object. While digital image is an image that has been stored in the form of a file so it can be processed using a computer. Digital image processing techniques can be applied in the process of image segmentation. OpenCV is a library that contains programming functions for realtime computer vision technology. OpenCV already uses the C # language interface and all its development is in C # language format. Examples of applications from OpenCV are human and computer interactions; identification, object segmentation and recognition, face recognition, motion recognition and movement tracking. By utilizing traffic video containing one way traffic flow, then made a vehicle detection program with background substraction method. This research can detect moving objects (vehicles). In the process of testing a video with .avi extension. Then from the video will be segmented thresholding image to find the moving object. Then, a background and foreground separation sequence is performed to separate moving objects with nonmoving objects of a certain value.