Video analytics is a key element in security cameras. Various computer vision algorithms such as pedestrian detection, facial detection/recognition, object tracking, and object detection are necessary ingredients. With recent advancements in deep learning technology, this is one of the industry’s hottest fields.
This deep-dive training session explains how we have developed and optimized video analytics algorithms for security cameras. Also learn our process for developing an algorithm, which involves more than just training models using Caffe* or TensorFlow – it should start with understanding use cases that affect the nature of dataset to collect, and should be tightly bound with hardware platform to get the best performance.