Recognizing human actions from varied views is challenging due to huge appearance
variations in different views. The key to this problem is to learn discriminant view-invariant …

Discriminative appearance features are effective for recognizing actions in a fixed view, but
may not generalize well to a new view. In this paper, we present two effective approaches to …

Understanding of human action and activity from video data is growing field and received
rapid importance due to surveillance, security, entertainment and personal logging. In this …

Human motion analysis has received a lot of attention in the computer vision community
during the last few years. This research domain is supported by a wide spectrum of …

This paper presents a novel approach for human pose transfer, progressive multi-attention
network (PMAN), which generates a new human image by transferring the pose of a given …

Human action recognition (HAR) is an essential but challenging task for observing human
movements. This problem encompasses the observations of variations in human movement …

Multi-layer representations have achieved outstanding performances in the complex daily
action recognition. However, the fixed length of the sliding window (SW) leads to the …

Multi-view human action recognition remains a challenging problem due to large view
changes. In this article, we propose a transfer learning-based framework called transferable …

Human action recognition has been extensively studied with a lot of real life application.
Many methods have been proposed and achieved promising results when the input video …

Daily action recognition is a challenging task in computer vision, and so the multi-layer
methods are proposed recently. However, the feature concatenation strategy in multi-view …