Pedestrian detection for video surveillance

• Main Author: Teo, Amalina
• Other Authors: Ma Kai Kuang
• Format: Final Year Project
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision; DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: http://hdl.handle.net/10356/76368
• Institution: Nanyang Technological University

In computer vision one of the basic challenges would be object recognition. Objects can vary in many ways and differ in categories hence it would difficult to segregate the images thoroughly. Image recognition like pedestrian detection over the years is a technology that receives attention from various interested users. Detecting objects like pedestrians are difficult as they can vary greatly in appearance. People may wear different clothes, vary in sizes and take a huge variety of poses. We are constantly looking for ways to enhance our current applications as the development of our technology advances. This report is an overview of the final year project in detail and a documented progress over the past 2 semesters. The report contains background information on the final year project topic and research materials used to enhance the understanding and learning of the image processing, object recognition and pedestrian detection.