Pedestrian detection: An evaluation of the state of the art
Pedestrian detection is a key problem in computer vision, with several applications that have
the potential to positively impact quality of life. In recent years, the number of approaches to …
the potential to positively impact quality of life. In recent years, the number of approaches to …
[HTML][HTML] Human detection in surveillance videos and its applications-a review
Detecting human beings accurately in a visual surveillance system is crucial for diverse
application areas including abnormal event detection, human gait characterization …
application areas including abnormal event detection, human gait characterization …
3d traffic scene understanding from movable platforms
In this paper, we present a novel probabilistic generative model for multi-object traffic scene
understanding from movable platforms which reasons jointly about the 3D scene layout as …
understanding from movable platforms which reasons jointly about the 3D scene layout as …
Monocular pedestrian detection: Survey and experiments
M Enzweiler, DM Gavrila - IEEE transactions on pattern …, 2008 - ieeexplore.ieee.org
Pedestrian detection is a rapidly evolving area in computer vision with key applications in
intelligent vehicles, surveillance, and advanced robotics. The objective of this paper is to …
intelligent vehicles, surveillance, and advanced robotics. The objective of this paper is to …
Detecting people using mutually consistent poselet activations
Bourdev and Malik (ICCV 09) introduced a new notion of parts, poselets, constructed to be
tightly clustered both in the configuration space of keypoints, as well as in the appearance …
tightly clustered both in the configuration space of keypoints, as well as in the appearance …
Multi-cue onboard pedestrian detection
Various powerful people detection methods exist. Surprisingly, most approaches rely on
static image features only despite the obvious potential of motion information for people …
static image features only despite the obvious potential of motion information for people …
Robust optimization for deep regression
V Belagiannis, C Rupprecht… - Proceedings of the …, 2015 - openaccess.thecvf.com
Abstract Convolutional Neural Networks (ConvNets) have successfully contributed to
improve the accuracy of regression-based methods for computer vision tasks such as …
improve the accuracy of regression-based methods for computer vision tasks such as …
Shape-based human detection and segmentation via hierarchical part-template matching
We propose a shape-based, hierarchical part-template matching approach to simultaneous
human detection and segmentation combining local part-based and global shape-template …
human detection and segmentation combining local part-based and global shape-template …
Virtual and real world adaptation for pedestrian detection
Pedestrian detection is of paramount interest for many applications. Most promising
detectors rely on discriminatively learnt classifiers, ie, trained with annotated samples …
detectors rely on discriminatively learnt classifiers, ie, trained with annotated samples …