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A novel system for tracking pedestrians using multiple single-row laser-range scanners

Published: 01 March 2005 Publication History

Abstract

We propose a novel system for tracking pedestrians in a wide and open area, such as a shopping mall and exhibition hall, using a number of single-row laser-range scanners (LD-A), which have a profiling rate of 10 Hz and a scanning angle of 270°. LD-As are set directly on the floor doing horizontal scanning at an elevation of about 20 cm above the ground, so that horizontal cross sections of the surroundings, containing moving feet of pedestrians as well as still objects, are obtained in a rectangular coordinate system of real dimension. The data of moving feet are extracted through background subtraction by the client computers that control each LD-A, and sent to a server computer, where they are spatially and temporally integrated into a global coordinate system. A simplified pedestrian's walking model based on the typical appearance of moving feet is defined and a tracking method utilizing Kalman filter is developed to track pedestrian's trajectories. The system is evaluated through both real experiment and computer simulation. A real experiment is conducted in an exhibition hall, where three LD-As are used covering an area of about 60×60 m2. Changes in visitors' flow during the whole exhibition day are analyzed, where in the peak hour, about 100 trajectories are extracted simultaneously. On the other hand, a computer simulation is conducted to quantitatively examine system performance with respect to different crowd density.

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  • (2018)A Survey of Techniques for Automatically Sensing the Behavior of a CrowdACM Computing Surveys10.1145/312934351:1(1-40)Online publication date: 19-Feb-2018
  • (2018)RETRACTED ARTICLE: Multipoint infrared laser-based detection and tracking for people countingNeural Computing and Applications10.1007/s00521-017-3196-029:5(1405-1416)Online publication date: 1-Mar-2018
  • (2017)Human body part multicontact recognition and detection methodology2017 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA.2017.7989222(1908-1915)Online publication date: 29-May-2017
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  1. A novel system for tracking pedestrians using multiple single-row laser-range scanners

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      cover image IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
      IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans  Volume 35, Issue 2
      March 2005
      123 pages

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      IEEE Press

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      Published: 01 March 2005

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      Cited By

      View all
      • (2018)A Survey of Techniques for Automatically Sensing the Behavior of a CrowdACM Computing Surveys10.1145/312934351:1(1-40)Online publication date: 19-Feb-2018
      • (2018)RETRACTED ARTICLE: Multipoint infrared laser-based detection and tracking for people countingNeural Computing and Applications10.1007/s00521-017-3196-029:5(1405-1416)Online publication date: 1-Mar-2018
      • (2017)Human body part multicontact recognition and detection methodology2017 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA.2017.7989222(1908-1915)Online publication date: 29-May-2017
      • (2017)Real-Time Visualization of the Degree of Indoor Congestion with Smartphone-Based Participatory SensingDistributed, Ambient and Pervasive Interactions10.1007/978-3-319-58697-7_21(286-301)Online publication date: 9-Jul-2017
      • (2016)A Location Estimation Method using BLE Tags Distributed Among Participants of a Large-Scale ExhibitionAdjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services10.1145/3004010.3004051(124-129)Online publication date: 28-Nov-2016
      • (2016)A Method for Estimating Walking Speed by Using Magnetic Signature to Grasp People Flow in Indoor PassagesAdjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services10.1145/3004010.3004033(94-99)Online publication date: 28-Nov-2016
      • (2016)Starting engagement detection towards a companion robot using multimodal featuresRobotics and Autonomous Systems10.1016/j.robot.2015.01.00475:PA(4-16)Online publication date: 1-Jan-2016
      • (2016)Trajectory identification based on spatio-temporal proximity patterns between mobile phonesWireless Networks10.1007/s11276-015-0987-z22:2(563-577)Online publication date: 1-Feb-2016
      • (2015)LiDAR-based pedestrian-flow analysis for crowdedness equalizationProceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2820783.2820805(1-10)Online publication date: 3-Nov-2015
      • (2015)AnonyCastProceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2750858.2805827(1119-1130)Online publication date: 7-Sep-2015
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