Wildlife conservation and the management of human–wildlife conflicts require cost‐effective
methods of monitoring wild animal behavior. Still and video camera surveillance can …

The advances in deep learning with the ability to automatically extract advanced features
have achieved a bright prospect for human activity recognition (HAR). However, the …

Sign language is a visually oriented, natural, nonverbal communication medium. Having
shared similar linguistic properties with its respective spoken language, it consists of a set of …

Human activity recognition (HAR) has become a research hotspot in the field of artificial
intelligence and pattern recognition. However, the HAR system still has some deficiencies in …

The capsule network (Caps) is a novel type of neural network that has great potential for the
classification of hyperspectral remote sensing. However, the Caps suffers from the issue of …

The vehicle logo contains the vehicle's identity information, so vehicle logo detection (VLD)
technology has extremely important significance. Although the VLD field has been studied …

Deep learning has been successfully utilized in synthetic aperture radar (SAR) automatic
target recognition tasks and obtained state-of-the-art results. However, current deep learning …

The past decades witnessed an unprecedented urbanization and the proliferation of modern
information and communication technologies (ICT), which makes the concept of Smart City …

Image restoration and recognition are important computer vision tasks representing an
inherent part of autonomous systems. These two tasks are often implemented in a …

Cell detection and cell type classification from biomedical images play an important role for
high-throughput imaging and various clinical application. While classification of single cell …