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Pedestrian detection is a problem of considerable practical interest. Adding to the list of successful applications of deep learning methods to vision, we report state-of-the-art and competitive results on all major pedestrian datasets with…

Computer Vision and Pattern Recognition · Computer Science 2013-04-03 Pierre Sermanet , Koray Kavukcuoglu , Soumith Chintala , Yann LeCun

Homonymous hemianopia (HH) patients report difficulties in avoiding collisions with other pedestrians. We evaluated pedestrian collision detection and avoidance behaviors in HH patients and healthy controls using a novel virtual reality…

Human-Computer Interaction · Computer Science 2025-10-07 Jonathan K. Doyon , Sujin Kim , Alex D. Hwang , Jae-Hyun Jung

Pedestrian safety is a critical public health priority, with pedestrian fatalities accounting for 18% of all U.S. traffic deaths in 2022. The rising prevalence of distracted walking, exacerbated by mobile device use, poses significant risks…

Human-Computer Interaction · Computer Science 2025-03-24 Methusela Sulle , Judith Mwakalonge , Gurcan Comert , Saidi Siuhi , Nana Kankam Gyimah , Jaylen Roberts , Denis Ruganuza

A major bottleneck of pedestrian detection lies on the sharp performance deterioration in the presence of small-size pedestrians that are relatively far from the camera. Motivated by the observation that pedestrians of disparate spatial…

Computer Vision and Pattern Recognition · Computer Science 2018-05-23 Xiaowei Zhang , Li Cheng , Bo Li , Hai-Miao Hu

Camera-equipped mobile devices, such as phones, smart glasses, and AR headsets, pose a privacy challenge for bystanders, who currently lack effective real-time mechanisms to control the capture of their picture, video, including their face.…

Cryptography and Security · Computer Science 2025-12-18 Jad Al Aaraj , Athina Markopoulou

Pedestrians are exposed to risk of death or serious injuries on roads, especially unsignalized crosswalks, for a variety of reasons. To date, an extensive variety of studies have reported on vision based traffic safety system. However, many…

Computer Vision and Pattern Recognition · Computer Science 2021-10-27 Byeongjoon Noh , Dongho Ka , Wonjun Noh , Hwasoo Yeo

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…

Computer Vision and Pattern Recognition · Computer Science 2016-11-17 Shanshan Zhang , Christian Bauckhage , Dominik A. Klein , Armin B. Cremers

Typical methods for pedestrian detection focus on either tackling mutual occlusions between crowded pedestrians, or dealing with the various scales of pedestrians. Detecting pedestrians with substantial appearance diversities such as…

Computer Vision and Pattern Recognition · Computer Science 2022-07-12 Zebin Lin , Wenjie Pei , Fanglin Chen , David Zhang , Guangming Lu

Smartphones equipped with sensors such as accelerometers, gyroscopes, and magnetometers offer valuable opportunities for physics education, allowing students to measure motion using their own devices. However, commonly used applications…

Physics Education · Physics 2026-03-06 Keita Nishioka , Yasuhiro Tanaka

While road obstacle detection techniques have become increasingly effective, they typically ignore the fact that, in practice, the apparent size of the obstacles decreases as their distance to the vehicle increases. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2023-06-21 Krzysztof Lis , Sina Honari , Pascal Fua , Mathieu Salzmann

There are different proposals in the literature on how to protect pedestrians using warning systems to alert drivers of their presence. They can be based on onboard perception systems or wireless communications. The evaluation of these…

Networking and Internet Architecture · Computer Science 2024-02-28 Ignacio Soto , Felipe Jimenez , Maria Calderon , Jose E. Naranjo , Jose J. Anaya

Nowadays, utilizing Advanced Driver-Assistance Systems (ADAS) has absorbed a huge interest as a potential solution for reducing road traffic issues. Despite recent technological advances in such systems, there are still many inquiries that…

Computer Vision and Pattern Recognition · Computer Science 2023-02-28 Bahareh Ghari , Ali Tourani , Asadollah Shahbahrami

Predicting human trajectories is a challenging task due to the complexity of pedestrian behavior, which is influenced by external factors such as the scene's topology and interactions with other pedestrians. A special challenge arises from…

Physics and Society · Physics 2023-07-31 Raphael Korbmacher , Huu-Tu Dang , Antoine Tordeux

One of the major challenges for autonomous vehicles in urban environments is to understand and predict other road users' actions, in particular, pedestrians at the point of crossing. The common approach to solving this problem is to use the…

Computer Vision and Pattern Recognition · Computer Science 2020-05-15 Amir Rasouli , Iuliia Kotseruba , John K. Tsotsos

In recent decades, running has become an increasingly popular pastime activity due to its accessibility, ease of practice, and anticipated health benefits. However, the risk of running-related injuries is substantial for runners of…

Sound · Computer Science 2025-04-11 Philipp Wagner , Andreas Triantafyllopoulos , Alexander Gebhard , Björn Schuller

This paper reports on a study that helps visually-impaired people to walk more confidently. The study hypothesizes that a smart cane that alerts visually-impaired people over obstacles in front could help them in walking with less accident.…

Body sounds provide rich information about the state of the human body and can be useful in many medical applications. Auscultation, the practice of listening to body sounds, has been used for centuries in respiratory and cardiac medicine…

Human-Computer Interaction · Computer Science 2020-08-13 Shyam A. Tailor , Jagmohan Chauhan , Cecilia Mascolo

The mortality rate for pedestrians using wheelchairs was 36% higher than the overall population pedestrian mortality rate. However, there is no data to clarify the pedestrians' categories in both fatal and nonfatal accidents, since police…

Machine Learning · Computer Science 2022-01-19 Tengfeng Lin , Zhixiong Jin , Seongjin Choi , Hwasoo Yeo

Smartphones consist of different sensors, which provide a platform for data acquisition in many scientific researches such as driving style identification systems. In the present paper, smartphone data are used to evaluate the driving…

Human-Computer Interaction · Computer Science 2018-03-19 Roya Lotfi , Mehdi Ghatee

Increase in workload across many organisations and consequent increase in occupational stress is negatively affecting the health of the workforce. Measuring stress and other human psychological dynamics is difficult due to subjective nature…

Human-Computer Interaction · Computer Science 2015-10-15 Enrique Garcia-Ceja , Venet Osmani , Oscar Mayora