Computer vision and deep learning techniques for pedestrian detection and tracking: A survey
Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …
research area. This growing interest, started in the last decades, might be explained by the …
Pedestrian and cyclist detection and intent estimation for autonomous vehicles: A survey
As autonomous vehicles become more common on the roads, their advancement draws on
safety concerns for vulnerable road users, such as pedestrians and cyclists. This paper …
safety concerns for vulnerable road users, such as pedestrians and cyclists. This paper …
Classification of Alzheimer's disease based on eight-layer convolutional neural network with leaky rectified linear unit and max pooling
Alzheimer's disease (AD) is a progressive brain disease. The goal of this study is to provide
a new computer-vision based technique to detect it in an efficient way. The brain-imaging …
a new computer-vision based technique to detect it in an efficient way. The brain-imaging …
Anisotropic angle distribution learning for head pose estimation and attention understanding in human-computer interaction
Head pose estimation is an important way to understand human attention in the human-
computer interaction. In this paper, we propose a novel anisotropic angle distribution …
computer interaction. In this paper, we propose a novel anisotropic angle distribution …
A deep learning-based hybrid framework for object detection and recognition in autonomous driving
As a key technology of intelligent transportation system, the intelligent vehicle is the carrier
of comprehensive integration of many technologies. Although vision-based autonomous …
of comprehensive integration of many technologies. Although vision-based autonomous …
Whenet: Real-time fine-grained estimation for wide range head pose
We present an end-to-end head-pose estimation network designed to predict Euler angles
through the full range head yaws from a single RGB image. Existing methods perform well …
through the full range head yaws from a single RGB image. Existing methods perform well …
Dynamic 3d gaze from afar: Deep gaze estimation from temporal eye-head-body coordination
We introduce a novel method and dataset for 3D gaze estimation of a freely moving person
from a distance, typically in surveillance views. Eyes cannot be clearly seen in such cases …
from a distance, typically in surveillance views. Eyes cannot be clearly seen in such cases …
Crossing or not? Context-based recognition of pedestrian crossing intention in the urban environment
The booming self-driving cars need to understand the behaviors of other road users for
better performance. Recognizing pedestrians' crossing intentions is one of the most critical …
better performance. Recognizing pedestrians' crossing intentions is one of the most critical …
Towards a robust aerial cinematography platform: Localizing and tracking moving targets in unstructured environments
The use of drones for aerial cinematography has revolutionized several applications and
industries that require live and dynamic camera viewpoints such as entertainment, sports …
industries that require live and dynamic camera viewpoints such as entertainment, sports …
Web-shaped model for head pose estimation: An approach for best exemplar selection
Head pose estimation is a sensitive topic in video surveillance/smart ambient scenarios
since head rotations can hide/distort discriminative features of the face. Face recognition …
since head rotations can hide/distort discriminative features of the face. Face recognition …