References
- Mairs J. Umbrellium develops interactive road crossing that only appears when needed, Online, 2017, 2018-02-3. [Online]. https://www.dezeen.com.
- Kooij JFP, Schneider N, Flohr F, et al. An example of pedestrian intention estimation using contextual cues. Context-based pedestrian path prediction, in European Conference on Computer Vision (ECCV), 2014, pp. 618–633.
- Teaching cars to see vehicle detection using machine learning and computer vision. https://towardsdatascience.com/.
- Shimizu H, Poggio T. Direction estimation of pedestrian from multiple still images., IV 2004.
- Guangzhen Z, Mrutani T, Kajita S, et al. Video based estimation of pedestrian walking direction for pedestrian protection system. J Electron (China). 2012;29(1/2).
- Baltieri D, Vezzani R, Cucchira R. People orientation recognition by mixtures of wrapped distributions on random trees, In proc. Eur. Conf. Comput. Vis. (ECCV), 2012, pp. 270–283.
- Liu H, Ma L. Online person orientation estimation based on classifier update, In Proceeding of IEEE Int. Conf. Image Processing ICIP, 2015, pp. 1568–1572.
- Tao J, Klette R. Integrated pedestrian and direction classification using a random decision forest, ICCV Workshop, 2013.
- Yu S, Tan D, Tan T. A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition, ICPR, Hong Kong, China. August, 2006.
- Raman R, Sa PK, Majhi B, et al. Direction estimation for pedestrian monitoring system in smart cities: An HMM based approach. IEEE Access. 2016;4:5788–5808. doi: 10.1109/ACCESS.2016.2608844
- Raza M, Chen Z, Rehman S, et al. Appearance based pedestrians head pose and body orientation estimation using deep learning. Neurocomputing. 2018;272:647–659. doi: 10.1016/j.neucom.2017.07.029
- Huang S, Ying X, Rong J, et al. Camera Calibration from Periodic Motion of a Pedestrian, CVPR 2016.
- Junejo IN. Using pedestrians walking on uneven terrains for camera calibration. Mach Vis Appl. 2011;22(1):137–144. doi: 10.1007/s00138-009-0210-2
- Guan J, Deboeverie F, Slembrouck M, et al. Extrinsic calibration of camera networks based on pedestrians. Sensors. 2016;16:654. doi:10.3390/s16050654.
- Cucchiara R, Grana C, Piccardi M, et al. Improving Shadow Suppression in Moving Object Detection with HSV Color Information, IEEE Intelligent Transportation Systems Conference Proceedings - Oakland (CA), USA - August 25–29, 2001.
- PETS2006. http://www.cvg.reading.ac.uk/PETS2006/data.html.
- Lv F, Zhao T, Nevatia R. Self-calibration of a camera from video of a walking human, IEEE International Conference of Pattern Recognition, 2002, pp. 281–304.
- MGP01. http://perso.usthb.dz/~slarabi/MGP01.html.
- Berclaz J, Fleuret F, Turetken E, et al. Multiple object tracking using K-shortest paths optimization. IEEE Trans Pattern Anal Mach Intell. 2011;33(9):1806–1819. doi: 10.1109/TPAMI.2011.21
- Fleuret F, Berclaz J, Lengagne R, et al. Multi-camera people tracking with a probabilistic occupancy map. IEEE Trans Pattern Anal Mach Intell. 2008;30(2):267–282. doi: 10.1109/TPAMI.2007.1174