The human dimension information is crucial for efficient building energy saving, health and
productivity, comfort conditions and security management. A great number of studies have …

Multiple human tracking (MHT) is a fundamental task in many computer vision applications.
Appearance‐based approaches, primarily formulated on RGB data, are constrained and …

This letter presents SkeletonNet, a deep learning framework for skeleton-based 3-D action
recognition. Given a skeleton sequence, the spatial structure of the skeleton joints in each …

We propose a multistream multitask deep network for joint human detection and head pose
estimation in RGB-D videos. To achieve high accuracy, we jointly utilize appearance, shape …

Human detection has received great attention during the past few decades, which is yet still
a challenging problem. In this paper, we focus on the problem of 3-D human detection, ie …

Cameras are being used everywhere for the safety and security of citizens in different
countries. Using a machine to detect humans in a photo or a video frame is a very …

Purpose With the emerging technologies, collecting and processing data about the
behaviors of customers or employees in a specific location has become possible. The …

Human detection and tracking is an essential component in several robotics applications,
especially in indoor built environments where humans and robots are expected to coexist or …

Visual tracking performance has long been limited by the lack of better appearance models.
These models fail either where they tend to change rapidly, like in motion-based tracking, or …

Recent technological advances enabled companies to collect, store and process a large
amount of data. Automated collection of human behavior is one of the recent developments …