scholarly journals Environment Recognition based on Images using Bag-of-Words

2017 ◽  
Author(s):  
Taurius Petraitis ◽  
Rytis Maskeliūnas ◽  
Robertas Damaševičius ◽  
Dawid Połap ◽  
Marcin Woźniak ◽  
...  
Keyword(s):  
Bag Of Words ◽  
Environment Recognition

An Optimized Method for Image Classification Based on Bag of Words Model

2013 ◽  
Vol 34 (9) ◽  
pp. 2064-2070 ◽  
Author(s):  
Chun-hui Zhao ◽  
Ying Wang ◽  
KANEKO Masahide
Keyword(s):  
Image Classification ◽  
Bag Of Words

scholarly journals Sensing Framework for the Internet of Actors in the Value Co-Creation Process with a Beacon-Attachable Indoor Positioning System

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 83
Author(s):  
Keiichi Zempo ◽  
Taiga Arai ◽  
Takuya Aoki ◽  
Yukihiko Okada
Keyword(s):  
Radio Wave ◽  
Indoor Positioning ◽  
Measurement Range ◽  
Pulse Interval ◽  
Retail Stores ◽  
Positioning System ◽  
Radio Waves ◽  
Positioning Systems ◽  
Environment Recognition ◽  
Indoor Positioning System

To evaluate and improve the value of a service, it is important to measure not only the outcomes, but also the process of the service. Value co-creation (VCC) is not limited to outcomes, especially in interpersonal services based on interactions between actors. In this paper, a sensing framework for a VCC process in retail stores is proposed by improving an environment recognition based indoor positioning system with high positioning performance in a metal shelf environment. The conventional indoor positioning systems use radio waves; therefore, errors are caused by reflection, absorption, and interference from metal shelves. An improvement in positioning performance was achieved in the proposed method by using an IR (infrared) slit and IR light, which avoids such errors. The system was designed to recognize many and unspecified people based on the environment recognition method that the receivers had installed, in the service environment. In addition, sensor networking was also conducted by adding a function to transmit payload and identification simultaneously to the beacons that were attached to positioning objects. The effectiveness of the proposed method was verified by installing it not only in an experimental environment with ideal conditions, but posteriorly, the system was tested in real conditions, in a retail store. In our experimental setup, in a comparison with equal element numbers, positioning identification was possible within an error of 96.2 mm in a static environment in contrast to the radio wave based method where an average positioning error of approximately 648 mm was measured using the radio wave based method (Bluetooth low-energy fingerprinting technique). Moreover, when multiple beacons were used simultaneously in our system within the measurement range of one receiver, the appropriate setting of the pulse interval and jitter rate was implemented by simulation. Additionally, it was confirmed that, in a real scenario, it is possible to measure the changes in movement and positional relationships between people. This result shows the feasibility of measuring and evaluating the VCC process in retail stores, although it was difficult to measure the interaction between actors.

Urban environment recognition based on theGNSSsignal characteristics

Navigation ◽  
2019 ◽  
Vol 66 (1) ◽  
pp. 211-225 ◽  
Author(s):  
Yuze Wang ◽  
Peilin Liu ◽  
Qiang Liu ◽  
Muhammad Adeel ◽  
Jiuchao Qian ◽  
...  
Keyword(s):  
Urban Environment ◽  
Environment Recognition

Bag-of-words-driven, single-camera simultaneous localization and mapping

2010 ◽  
Vol 28 (2) ◽  
pp. 204-226 ◽  
Author(s):  
Tom Botterill ◽  
Steven Mills ◽  
Richard Green
Keyword(s):  
Simultaneous Localization And Mapping ◽  
Single Camera ◽  
Bag Of Words ◽  
Localization And Mapping

ADHD classification using bag of words approach on network features

2012 ◽  
Author(s):  
Berkan Solmaz ◽  
Soumyabrata Dey ◽  
A. Ravishankar Rao ◽  
Mubarak Shah
Keyword(s):  
Bag Of Words
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