Roadside Video Data Analysis

Roadside Video Data Analysis is the pattern recognition, voice recognition, transportation engineering and computer vision book which teaches the simple ways for roadside video data analysis. Brijesh Verma, Ligang Zhang, and David Stockwell are the author of this impressive book. The media industry is one of the biggest industries in the world. Billions of people are linked with this industry and millions of them are earning through it. It helps people to build a strong community and spread positivity. Although sometimes we did not get the positive messages it’s impossible to stop media. There are millions of movies, channels, videos, and shows. Every day thousands of new movies released and all of them have a separate fan base. The popularity of the media is linked with quality. The quality of video that we see today is much better a decade ago. Improvement in quality is the best way to get success and spread the message. This guide highlights different techniques for roadside video data analysis. It focuses on deep learning to resolve all the classification issues and video data segmentation. Learn, how to catch errors and how to rebuild the frame with existing files.