Object detection and counting system

• Main Authors: Chomtip Pornpanomchai, Fuangchat Stheitsthienchai, Sorawat Rattanachuen
• Other Authors: Mahidol University
• Format: Conference or Workshop Item
• Published: 2018
• Subjects: Computer Science
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/19134

The research intends to develop the object detection and counting system using image processing. Overall works are software development of a system that requires a video stream or single image. They consist of the following components: background without any moving objects and the scene with moving objects. The system is designed to find the differentiation which is the moving objects and find the number of moving objects from the video scene. The object detection and counting system consists of six major components: 1) Image Acquisition 2) Image Enhancement 3) Image Segmentation 4) Image Analysis 5) Object Counting, and 6) Reports. The experiment has been conducted in order to access the following qualities: 1) Usability, to prove that the system can determine object detection and counting under the specific condition lay out. 2) Efficiency, to show that the system can work with high accuracy. ©2008 IEEE.