The human hand is involved in many computer vision tasks, such as hand posture
estimation, hand movement identification, human activity analysis, and other similar tasks, in …

Hand detection is a key step in the pre-processing stage of many computer vision tasks
because human hands are involved in the activity. Some examples of such tasks are hand …

Unconstrained hand detection in still images plays an important role in many hand‐related
vision problems, for example, hand tracking, gesture analysis, human action recognition and …

The lack of interpretability of existing CNN-based hand detection methods makes it difficult
to understand the rationale behind their predictions. In this paper, we propose a novel …

Hand detection is an essential step to support many tasks including HCI applications.
However, detecting various hands robustly under conditions of cluttered backgrounds …

We present Hand-CNN, a novel convolutional network architecture for detecting hand masks
and predicting hand orientations in unconstrained images. Hand-CNN extends MaskRCNN …

Current state-of-the-art approaches for human hand detection have achieved great success
by making good use of multiscale and contextual information but still remain unsatisfactory …

Robust detection of hands in images at different scales, especially, small-sized hands, has
remained a challenge in computer vision. In this work, we design a multi-scale deep …

Accurate fast hand detection and gesture recognition for hand understanding are still
challenging tasks that are influenced by the diversity of hands and the complexity of the …

In this paper, we propose an efficient method for detecting human hands based on the
architecture of YOLO [1]. By utilizing the spatial-transfer connection (STC) between high …