This paper presents a new representation of skeleton sequences for 3D action recognition.
Existing methods based on hand-crafted features or recurrent neural networks cannot …

Personnel detection in a coal mine is of great significance for monitoring the safety and real-
time positioning of underground personnel. However, the uneven illumination, large dust …

The growing advocacy of thermal imagery in applications, such as autonomous vehicles,
surveillance, and COVID-19 detection, necessitates accurate object detection frameworks …

Pedestrian detection in low-light environments has been an extremely challenging task
because of the serious degradation of color and texture information. In the latest research …

In recent years, human detection in indoor scenes has been widely applied in smart
buildings and smart security, but many related challenges can still be difficult to address …

This paper validates an indoor measurement system for human detection using a RGB
camera installed on a mobile robot at three different robot's head configuration and in two …

Semantic segmentation is important for the accuracy of target detection. Semantic labels are
difficult to obtain for real driving; however, they are easy to obtain in virtual datasets. So this …

Today's societies require special attention to control human access in security-sensitive
areas. Traditional surveillance methods demand significant manpower and financial …

Blob detection is an important part of computer vision and a special case of region detection
with important applications in the image analysis. In this paper, the dilation operator in …

Color descriptors, which involve the extraction of color information that is robust to
illumination variation, are indispensable for accessing reliable visual information as …