Human pose estimation from monocular images: A comprehensive survey
Human pose estimation refers to the estimation of the location of body parts and how they
are connected in an image. Human pose estimation from monocular images has wide …
are connected in an image. Human pose estimation from monocular images has wide …
Learning feature pyramids for human pose estimation
Articulated human pose estimation is a fundamental yet challenging task in computer vision.
The difficulty is particularly pronounced in scale variations of human body parts when …
The difficulty is particularly pronounced in scale variations of human body parts when …
3d human pose estimation in the wild by adversarial learning
Recently, remarkable advances have been achieved in 3D human pose estimation from
monocular images because of the powerful Deep Convolutional Neural Networks (DCNNs) …
monocular images because of the powerful Deep Convolutional Neural Networks (DCNNs) …
Hollywood in homes: Crowdsourcing data collection for activity understanding
Computer vision has a great potential to help our daily lives by searching for lost keys,
watering flowers or reminding us to take a pill. To succeed with such tasks, computer vision …
watering flowers or reminding us to take a pill. To succeed with such tasks, computer vision …
End-to-end learning of deformable mixture of parts and deep convolutional neural networks for human pose estimation
Abstract Recently, Deep Convolutional Neural Networks (DCNNs) have been applied to the
task of human pose estimation, and have shown its potential of learning better feature …
task of human pose estimation, and have shown its potential of learning better feature …
Joint attention in driver-pedestrian interaction: from theory to practice
A Rasouli, JK Tsotsos - arXiv preprint arXiv:1802.02522, 2018 - arxiv.org
Today, one of the major challenges that autonomous vehicles are facing is the ability to drive
in urban environments. Such a task requires communication between autonomous vehicles …
in urban environments. Such a task requires communication between autonomous vehicles …
Human activity recognition via recognized body parts of human depth silhouettes for residents monitoring services at smart home
Human activity recognition (HAR) is an emerging methodology essential for smart homes
with practical applications such as personal lifecare and healthcare services for the elderly …
with practical applications such as personal lifecare and healthcare services for the elderly …
Better appearance models for pictorial structures
We present a novel approach for estimating body part appearance models for pictorial
structures. We learn latent relationships between the appearance of different body parts from …
structures. We learn latent relationships between the appearance of different body parts from …
Deep cascaded convolutional models for cattle pose estimation
Cattle pose estimation is a key step analyzing cattle behaviors and evaluating cattle health,
hence, greatly significant for intelligent breeding of cattle. Computer vision based on cattle …
hence, greatly significant for intelligent breeding of cattle. Computer vision based on cattle …
[PDF][PDF] Human activity recognition using the labeled depth body parts information of depth silhouettes
This paper presents a work on human activity recognition using the labeled body parts of
depth silhouettes. In this work, we label depth silhouettes of various human activities for …
depth silhouettes. In this work, we label depth silhouettes of various human activities for …