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 …

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 …

The primary objective of this work is to classify the videos, which comprises the extraction of
video frames and generation of features vector and identification of action sequence in the …

The primary objective of this work is to classify the videos, which comprises the extraction of
video frames and generation of features vector and identification of action sequence in the …

Scene interpretation, video surveillance, robots, and autonomous driving systems are just a
few examples of the many areas where computer vision has been put to use in the last …

The object detection based on deep learning is an important application like scene
understanding, video surveillance, robotics, self-driving systems etc. in deep learning …

As the growth of mobile devices and social networks has been faster than ever, online
image and video content have become truly ubiquitous today. Understanding of these …

Computer vision is the multidisciplinary domain extracts and analyses digital images in an
automated manner. The application of computer vision is widespread and it ranges from …

In recent years, deep learning has been used in image classification, object tracking, action
recognition and scene labeling. Traditionally, Image Processing techniques were used to …

Deep learning is the sub set of machine learning in artificial intelligence. The major role is
played in deep learning is analysis the inner function of the object and make effective …