Gaussian Energy-based function for detection of moving objects in videos

Implemented Gaussian distribution to modify energy-based functions in images for motion detection of objects to identify accidents in a real-time video. Created a dataset consisting of 3320 crash frames and 6180 normal frames, ranging from a duration of 3-5min was curated from online sources for vehicle accidents or crash detection. The accuracy achieved during the training phase was around 84%.