In this chapter, we aim to aid the development of Cyber-Physical Systems (CPS) in
automated understanding of events and activities in various applications of video …

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 …

In this paper, we propose a novel fusion strategy of prediction vectors obtained from two
different deep neural networks designed for the task of event recognition in unconstrained …

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 …

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 …

Object classification problem is essential in many applications nowadays. Human can easily
classify objects in unconstrained environments easily. Classical classification techniques …