The object recognition technology in video scene has been applied more and more in many
fields, but the recognition accuracy and speed of video object recognition model are limited …

Due to the vast amount of video data and redundant information, the recognition accuracy
and speed of video object recognition models is hindered. To overcome this problem, a …

This paper proposes to detect, recognize, and track a specific object in video sequences
using Convolutional Neural Networks (CNNs). The CNNs used are the TensorFlow SSD …

Recognition of moving objects in video images is mainly based on acquiring the target
information in a certain time series. After image processing, relevant algorithms are used to …

Existing action recognition methods typically sample a few frames to represent each video to
avoid the enormous computation, which often limits the recognition performance. To tackle …

Deep learning builds deep architectures such as multi-layered artificial neural networks to
effectively represent multiple features of input patterns. The adaptive structural learning …

In order to improve the accuracy of video image moving target recognition and shorten the
recognition time, a video image moving target recognition method based on a generation …

Image classification and video recognition are always a key issue in computer vision. Until
now, the recognition of videos has not achieved good results in some application filed, such …

Object recognition and tracking in videos is a field of research with extremely high potential
and utility. Application of Machine Learning in this field is relatively recent with many …

Recognizing real-world videos is a challenging task that requires the use of deep learning
models. These models, however, require extensive computational resources to achieve …