Road Accident Detection using Perceptual Attributes of Video

Student of Indian Institute of Technology Kanpur, Dr. Sinnu Susan Thomas won the award for research work of Road Accident Detection using Perceptual Attributes of Video. She carried her project work under guidance of Prof. Sumana Gupta and Prof. K S Venkatesh.

According to Annual Global Road Crash Statistics, nearly 1.3 million people die in road crashes every year, on average 3,287 deaths a day. Road accident detection and vehicle behavior analysis is of great interest to the research community in intelligent transportation systems. Surveillance cameras are ubiquitous on the roads and capture videos round the clock. The enormous data collected by cameras may be time consuming and laborious to scrutinize the occurrence of an accident scenario present in the videos. There is a need to reduce the redundant nature of video so that its contents become succinct using video summarization techniques. The project presents perceptual video summarization techniques to enrich the speed of visualizing the accident content from a stack of videos. The problem of vehicle analysis is formulated as an optimization problem. The results establish the versatility of the proposed summarization model.

This model is formulated using cost function based on the change in the appearance of perceptual features such as motion, color, shape, and size. A selective minimization of the cost function leads to an appropriate video summarization of the event. The experiments were conducted for different types of collision such as head-on collision, rearend collision, single-vehicle collision and intersection collision and summarized the events prior, during, and subsequent to the accidents. The reduction ratio achieved is small and true positive detection is higher compared to the conventional methods. The model used for this project can be used for various surveillance purposes

The Hon’ble President of India, Shri Ram Nath Kovind awarded the Gandhian Young Technological Innovation (GYTI) Award to Dr. Sinnu Susan Thomas, Indian Institute of Technology Kanpur at the GYTI 2018 Awards function held at Rashtrapati Bhawan on March 19, 2018.

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