The number of pedestrians walking the streets or gathered in public spaces is a valuable piece of information for shop owners, city governments, event organizers and many others. However, automatic counting that takes place day and night is challenging due to changing lighting conditions and the complexity of scenes with many people occluding one another. To address these challenges, this paper introduces the use of a stereo thermal camera setup for pedestrian counting. We investigate the reconstruction of 3D points in a pedestrian street with two thermal cameras and propose an algorithm for pedestrian counting based on clustering and tracking of the 3D point clouds. The method is tested on two five-minute video sequences captured at a public event with a moderate density of pedestrians and heavy occlusions. The counting performance is compared to the manually annotated ground truth and shows success rates of 95.4% and 99.1% for the two sequences.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732095 | PMC |
| http://dx.doi.org/10.3390/s16010062 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Pedestrians' perceptions, fixations, and decisions towards automated vehicles with varied appearances.
Accid Anal Prev
December 2024
Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China; Engineering Research Center of Transportation Information and Safety, Ministry of Education, Wuhan 430063, China.
Future automated vehicles (AVs) are anticipated to feature innovative exteriors, such as textual identity indications, external radars, and external human-machine interfaces (eHMIs), as evidenced by current and forthcoming on-road testing prototypes. However, given the vulnerability of pedestrians in road traffic, it remains unclear how these novel AV appearances will impact pedestrians' crossing behaviour, especially in relation to their multimodal performance, including subjective perceptions, gaze patterns, and road-crossing decisions. To address this gap, this study pioneers an investigation into the influence of AVs' exterior design, in conjunction with their kinematics, on pedestrians' road-crossing perception and decision-making.
View Article and Find Full Text PDFCrowd-counting technology within the Smart City context: understanding, trust, and acceptance.
Front Psychol
November 2024
Department of Psychology, University of Bamberg, Bamberg, Germany.
In city centers worldwide, including the UNESCO World Heritage Site of Bamberg's old town in Germany, alleviating pedestrian overcrowding is a pressing concern. Leveraging crowd-counting technologies with real-time data collection offers promising solutions, yet poses challenges regarding data privacy and informed consent. This preregistered study examines public response to a Smart City Bamberg project aimed at addressing pedestrian congestion through crowd-counting methods.
View Article and Find Full Text PDFEvaluating the safety impact of mid-block pedestrian signals (MPS).
Accid Anal Prev
February 2025
Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA. Electronic address:
Article Synopsis
- * Using advanced computer vision and a specific statistical model, the study categorized vehicle-pedestrian interactions into conflict levels and found that MPS significantly reduced moderate and serious conflicts.
- * Factors like vehicle speed and land-use mix were found to increase the risk of serious conflicts, but the presence of MPS helped mitigate these risks, showing its potential to enhance safety at mid-block crossings.
Vehicle and Pedestrian Traffic Signal Performance Measures Using LiDAR-Derived Trajectory Data.
Sensors (Basel)
October 2024
Joint Transportation Research Program, Lyles School of Civil and Construction Engineering, Purdue University, West Lafayette, IN 47907, USA.
Light Detection and Ranging (LiDAR) sensors at signalized intersections can accurately track the movement of virtually all objects passing through at high sampling rates. This study presents methodologies to estimate vehicle and pedestrian traffic signal performance measures using LiDAR trajectory data. Over 15,000,000 vehicle and 170,000 pedestrian waypoints detected during a 24 h period at an intersection in Utah are analyzed to describe the proposed techniques.
View Article and Find Full Text PDFAdvancements in monitoring: a comparison of traditional and application-based tools for measuring outdoor recreation.
PeerJ
September 2024
Yellowstone to Yukon Conservation Initiative, Canmore, Alberta, Canada.
Outdoor recreation has experienced a boom in recent years and continues to grow. While outdoor recreation provides wide-ranging benefits to human well-being, there are growing concerns about the sustainability of recreation with the increased pressures placed on ecological systems and visitor experiences. These concerns emphasize the need for managers to access accurate and timely recreation data at scales that match the growing extent of the recreation footprint.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!