Exploring Human Vision Driven Features for Pedestrian Detection

01/25/2015
by   Shanshan Zhang, et al.
0

Motivated by the center-surround mechanism in the human visual attention system, we propose to use average contrast maps for the challenge of pedestrian detection in street scenes due to the observation that pedestrians indeed exhibit discriminative contrast texture. Our main contributions are first to design a local, statistical multi-channel descriptorin order to incorporate both color and gradient information. Second, we introduce a multi-direction and multi-scale contrast scheme based on grid-cells in order to integrate expressive local variations. Contributing to the issue of selecting most discriminative features for assessing and classification, we perform extensive comparisons w.r.t. statistical descriptors, contrast measurements, and scale structures. This way, we obtain reasonable results under various configurations. Empirical findings from applying our optimized detector on the INRIA and Caltech pedestrian datasets show that our features yield state-of-the-art performance in pedestrian detection.

READ FULL TEXT

page 2

page 3

page 10

research
02/25/2019

SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection

Pedestrian detection plays an important role in many applications such a...
research
09/05/2010

Effective Pedestrian Detection Using Center-symmetric Local Binary/Trinary Patterns

Accurately detecting pedestrians in images plays a critically important ...
research
04/03/2022

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

Accurately detecting and tracking pedestrians in 3D space is challenging...
research
12/31/2021

PiFeNet: Pillar-Feature Network for Real-Time 3D Pedestrian Detection from Point Cloud

We present PiFeNet, an efficient and accurate real-time 3D detector for ...
research
07/04/2018

Small-scale Pedestrian Detection Based on Somatic Topology Localization and Temporal Feature Aggregation

A critical issue in pedestrian detection is to detect small-scale object...
research
06/19/2017

Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision

Across a majority of pedestrian detection datasets, it is typically assu...
research
08/19/2022

Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention

Improving multi-view aggregation is integral for multi-view pedestrian d...

Please sign up or login with your details

Forgot password? Click here to reset