Counting repetitive actions are widely seen in human activities such as physical exercise.
Existing methods focus on performing repetitive action counting in short videos, which is …

This paper presents a significant contribution to the field of repetitive action counting through
the introduction of a new approach called Pose Saliency Representation. The proposed …

Temporal repetition counting aims to estimate the number of cycles of a given repetitive
action. Existing deep learning methods assume repetitive actions are performed in a fixed …

This paper strives for repetitive activity counting in videos. Different from existing works,
which all analyze the visual video content only, we incorporate for the first time the …

We present an approach for estimating the period with which an action is repeated in a
video. The crux of the approach lies in constraining the period prediction module to use …

The task of counting the number of repetitions of approximately the same action in an input
video sequence is addressed. The proposed method runs online and not on the complete …

We consider the problem of estimating repetition in video, such as performing push-ups,
cutting a melon or playing violin. Existing work shows good results under the assumption of …

Pedestrian counting is a fundamental tool for understanding pedestrian patterns and crowd
flow analysis. Existing works (eg, image-level pedestrian counting, crossline crowd counting …

The study of the human body motion throughout different activities is one of the most
challenging and long-standing problems in Computer Vision. With the recent advances in …

Activity recognition using off-the-shelf smartwatches is an important problem in human
activity recognition. In this paper, we present an end-to-end deep learning approach, able to …