A wireless pedestrian tracking network

2009 ◽  
Author(s):  
Lun Jiang ◽  
Ankur Kamthe ◽  
Alberto E. Cerpa
Keyword(s):  
Pedestrian Tracking

scholarly journals Smartphone-Based Inertial Odometry for Blind Walkers

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4033
Author(s):  
Peng Ren ◽  
Fatemeh Elyasi ◽  
Roberto Manduchi
Keyword(s):  
Particle Filtering ◽  
Inertial Sensors ◽  
State Of The Art ◽  
Inertial Sensor ◽  
Mean Shift ◽  
Gait Pattern ◽  
Comparative Assessment ◽  
Pedestrian Tracking ◽  
Step Counter ◽  
Assisted Navigation

Pedestrian tracking systems implemented in regular smartphones may provide a convenient mechanism for wayfinding and backtracking for people who are blind. However, virtually all existing studies only considered sighted participants, whose gait pattern may be different from that of blind walkers using a long cane or a dog guide. In this contribution, we present a comparative assessment of several algorithms using inertial sensors for pedestrian tracking, as applied to data from WeAllWalk, the only published inertial sensor dataset collected indoors from blind walkers. We consider two situations of interest. In the first situation, a map of the building is not available, in which case we assume that users walk in a network of corridors intersecting at 45° or 90°. We propose a new two-stage turn detector that, combined with an LSTM-based step counter, can robustly reconstruct the path traversed. We compare this with RoNIN, a state-of-the-art algorithm based on deep learning. In the second situation, a map is available, which provides a strong prior on the possible trajectories. For these situations, we experiment with particle filtering, with an additional clustering stage based on mean shift. Our results highlight the importance of training and testing inertial odometry systems for assisted navigation with data from blind walkers.

A Modified Multi-Pedestrian Tracking System

2019 ◽  
Author(s):  
Yuan Gong ◽  
Jianning Chi ◽  
Xiaosheng Yu ◽  
Chengdong Wu ◽  
Zixi Jia
Keyword(s):  
Tracking System ◽  
Pedestrian Tracking

WTrack: HMM-based walk pattern recognition and indoor pedestrian tracking using phone inertial sensors

2014 ◽  
Vol 18 (8) ◽  
pp. 1901-1915 ◽  
Author(s):  
Xiaoguang Niu ◽  
Meng Li ◽  
Xiaohui Cui ◽  
Jin Liu ◽  
Shubo Liu ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Inertial Sensors ◽  
Pedestrian Tracking ◽  
Indoor Pedestrian Tracking

A Comparative analysis of Algorithms for Pedestrian Tracking using Drone Vision

2021 ◽  
Author(s):  
Poluri Nikhil Koundinya ◽  
NT Sanjukumar ◽  
P Rajalakshmi
Keyword(s):  
Comparative Analysis ◽  
Analysis Of Algorithms ◽  
Pedestrian Tracking

Adaptive pedestrian tracking via patch-based features and spatial–temporal similarity measurement

2016 ◽  
Vol 53 ◽  
pp. 163-173 ◽  
Author(s):  
Xuewei Shen ◽  
Xiubao Sui ◽  
Kechen Pan ◽  
Yuanrong Tao
Keyword(s):  
Similarity Measurement ◽  
Pedestrian Tracking
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