BACKGROUND: Sports have been a fundamental component of any culture and legacy for
centuries. Athletes are widely regarded as a source of national pride, and their physical well …

Pattern recognition is a complicated process that involves analyzing the data that are being
inputted, removing patterns from the data, attempting to compare the patterns to specific …

Object detection serves as a significant step in improving performance of complex
downstream computer vision tasks. It has been extensively studied for many years now and …

Untrimmed videos on social media or those captured by robots and surveillance cameras
are of varied aspect ratios. However, 3D CNNs usually require as input a square-shaped …

In recent years, video event prediction and classification is considered a hot research topic
among researchers, due to its social influence and its extensive real-time applications. In …

Pattern recognition investigates how machines scan their environment, learn to characterize
patterns of particular interest from the underlying background, and draw logical inferences …

Automated event and activity recognition in unconstrained videos has become a societal
necessity. In this paper, we address video event classification and analyze the influence of …

Convolutional Neural Networks (CNNs), a kind of deep learning architecture, have recently
shown remarkable progress in the field of computer vision. This study models network traffic …

Autonomous cars (also known as, self-driving/driver-less cars) are vehicles that flaunts a
fully-automated driving system and are believed to be the urban mode-of-transport for the …