Improved Ada Boost Classifier for Sports Scene Detection in Videos: from Data Extraction to Image Understanding
Yibo Yue, Yucheng Yang · 2020
Improved Ada Boost classifier for the sports scene detection in videos: from data extraction to image understanding is proposed in this paper. Virtual reality technology is the basic condition for the development of VR sports simulation system, and the accurate simulation of all kinds of competitive sports is completed on this basis. This technique can provide technical reference for coaches and athletes, on the basis of which the training means are deepened continuously, while improving the training effect, ensuring that the athletes do not suffer physical injury in the training. Traditional scene recognition methods generally use the low-level features or high-level features. The advantages of these methods are simple and easy to implement, however, this paper uses the Ada Boost model for the efficient analysis. The simulation results have proven the performance.