TrueSight A Pedestrian Navigation System Based in Automatic Landmark Detection and Extraction on Android Smartphone

Ferreira, Alessandro Luiz Stamatto; Santos, Selan Rodrigues dos; Miranda, Leonardo Cunha de

doi:10.1109/svr.2012.14

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…One of the applications that take advantage of pedestrian detection technique is an application that calculate the pedestrian either in indoor or outdoor environments such as a shopping centers, airports and streets [55], [88]- [90] . Another area that using pedestrian detection is an industrial environment [91] and applications that provide driving navigation within an indoor or outdoor area [2], [92], [93] .…”

Section: Pedestrian Detection Applicationsmentioning

confidence: 99%

A Survey of Pedestrian Detection in Video

Solichin¹,

Harjoko²,

Putra³

2014

ijacsa

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Abstract-Pedestrian detection is one of the important topics in computer vision with key applications in various fields of human life such as intelligent vehicles, surveillance and advanced robotics. In recent years, research related to pedestrian detection commonplace. This paper aims to review the papers related to pedestrian detection in order to provide an overview of the recent research. Main contribution of this paper is to provide a general overview of pedestrian detection process that is viewed from different sides of the discussion. We divide the discussion into three stages: input, process and output. This paper does not make a selection or technique best method and optimal because the best technique depends on the needs, concerns and existing environment. However, this paper is useful for future researchers who want to know the current researches related to pedestrian detection.

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Section: Pedestrian Detection Applicationsmentioning

confidence: 99%

A Survey of Pedestrian Detection in Video

Solichin¹,

Harjoko²,

Putra³

2014

ijacsa

View full text Add to dashboard Cite

show abstract

“…Sensor-based mobile AR provides virtual data based on location data acquired through the GPS as shown in Figure 3 [17,18]. Since sensor-based mobile AR uses location data, it can be easily expanded to various services by replacing the augmented virtual data.…”

mentioning

confidence: 99%

A Study on Tracking and Augmentation in Mobile AR for e-Leisure

Jang

Lee

et al. 2018

Mobile Information Systems

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Recently, a mobile augmented reality (AR) system with AR technology that requires high performance has become popular due to the improved performance of smartphones. In particular, mobile AR that directly interacts with outdoor environments has been in development because of increasing interest in e-leisure due to improvements in living standards. Therefore, this paper aims to study tracking and augmentation in mobile AR for e-leisure. We analyzed the performance of human body tracking application implemented in a mobile system (smartphone) using three methods (marker-based, markerless, and sensor-based) for the feasibility examination of human body tracking in mobile AR. Furthermore, game information augmentation was examined through the implementation of mobile AR using two methods (marker- and sensor-based).

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TrueSight A Pedestrian Navigation System Based in Automatic Landmark Detection and Extraction on Android Smartphone

Cited by 2 publications

References 15 publications

A Survey of Pedestrian Detection in Video

A Survey of Pedestrian Detection in Video

A Study on Tracking and Augmentation in Mobile AR for e-Leisure

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