SafeCross: Helping Elder People Cross the Road Timely Using Thermal Imaging and Image Recognition
DOI:
https://doi.org/10.54097/fcis.v5i3.14047Keywords:
Thermal Imaging, Image Recognition, Traffic Safety, Identify the EldersAbstract
Some older adults face challenges of cross the road in time due to reduced mobility and declining sensory abilities. Existing technologies have limitations in accurately identifying pedestrians. We propose SafeCross, a novel system that combines image recognition and thermal imaging technology based on the FLIR TrafiOne 156 sensor, which accurately detects elderly individuals at road intersections in low visibility or obstructed conditions and implement traffic light control based on the algorithm provided by SafeCross. Our findings demonstrate the potential of SafeCross system ensures safety for older adults at intersections, Making a significant contribution to reducing the accident rate among the elderly.
Downloads
References
Sarcar, S., Joklnen, J., Oulasvirta, A., et al. (2016) Towards Ability-Based Optimization for Aging Users. In: Proceedings of the International Symposium on Interactive Technology and Ageing Populations (ITAP '16). New York. pp. 77–86.
Xu, W.J., Ruiz-Juri, N., Huang, R.Z., et al. (2018) Automated pedestrian safety analysis using data from traffic monitoring cameras. In: Proceedings of the 1st ACM/EIGSCC Symposium on Smart Cities and Communities (SCC '18). New York. pp. 1-8.
Bamis, A., Lymberopoulos, D., Teixeira, T., et al. (2008) Towards precision monitoring of elders for providing assistive services. In: Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments (PETRA '08). New York. pp. 1-8.
Lin, Z.F., Hanson, A.R., Osterweil, L.J., et al. (2011) Precise process definitions for activities of daily living: a basis for real-time monitoring and hazard detection. In: Proceedings of the 3rd Workshop on Software Engineering in Health Care (SEHC '11). New York. pp. 13-16.
Wong, S.F., Hoi, W.K., Wan, I.K. (2018) Advanced Smart Wheelchair Design in Enhancing Quality of Life for Elder and Handicapped People. In: Proceedings of the 4th International Conference on Industrial and Business Engineering (ICIBE' 18). New York. pp. 203-210.
Grosse-Puppendahl, T., Bechtold, O., Strassel, L., et al. (2015) Enhancing traffic safety with wearable low-resolution displays. In: Proceedings of the 2nd international Workshop on Sensor-based Activity Recognition and Interaction (iWOAR '15). New York. pp. 1-10.
Saad, A., Izadi, K., Khan, A.A., et al. (2023) HotFoot: Foot-Based User Identification Using Thermal Imaging. In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Hamburg. pp. 1-13.
Park, D.M., Yeom, S. (2022) Human Detection and Posture Estimation with IR Thermal Images by a Drone. In: Proceedings of the 2021 4th Artificial Intelligence and Cloud Computing Conference (AICCC '21). New York. pp. 115-121.
Ivašić-Kos, M., Krišto, M., Pobar, M. (2019) Human Detection in Thermal Imaging Using YOLO. In: Proceedings of the 2019 5th International Conference on Computer and Technology Applications (ICCTA '19). New York. pp. 20-24.
Sethi, R.J., Roy-Chowdhury, A.K. (2010) The human action image and its application to motion recognition. In: Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP '10). New York. pp. 1-8.
liu, S., Liu, J., Zhang, T.Z., et al. (2009) Human action recognition in videos using motion impression image. In: Proceedings of the First International Conference on Internet Multimedia Computing and Service (ICIMCS '09). New York. pp. 174-178.


