Abstract-- Traffic accidents have become a major cause of death. Most traffic accidents are caused by driver carelessness on traffic conditions. The driving dispute is a critical problem for drivers when the car accident is happened. The drivers usually install the car video recorder in their car to recode their driving images in recent years. If a traffic accident being happened, the driver can provide a driving video file as an evidence to claim that they did not conduct any dangerous driving behaviors for protecting themselves from suspicions. However, under some such situations, drivers may not stay in their car accident when driving the car, but they have similar requirements for a video record, because they need to use those video files to find out the crime in some hit-and-run accidents. The goal of this paper is to develop a platform which can allow user to share their driving videos by using smart wearable devices and allow other users to search traffic video by some given specific time, date and location from the platforms’ database.

I. INTRODUCTION Traffic accidents have become a major cause of death. Most

traffic accidents are caused by driver carelessness on traffic conditions. Therefore, detecting on-road traffic conditions for assisting drivers is a promising approach to help drivers take safe driving precautions. Accordingly, many studies have developed valuable driver assistance techniques for detecting and recognizing on-road traffic objects, including lane markings, vehicles, raindrops, and other obstacles. The objects are recognized from images of road environments outside the host car [1]. These driver assistance techniques are mostly developed based on camera-assisted systems, and can help drivers perceive possible dangers on the road or automatically control the apparatus of the vehicle (e.g., headlights and windshield wipers).

In the recent studies, most of them are focus on the issue of “how to prevent a traffic accident”. However, if the accident is happened, how we can do to determine the attribution of the responsibility for this traffic accident. The drivers usually installed the driving recorder in their vehicle for protecting themselves, when the accident is happened. However, in most traffic accident those usually need more evidences to determine and recover the scene of the accident including road surveillance system, other driving videos and etc… to find out who is responsible for this accident. Due to the evolutions of social networks, such as Facebook, Twitter, or Google+, many people were post the required messages to find the driving

This paper was supported by the Chunghwa Telecom Co., Ltd, under grant

No. TL-102-G107, and the National Science Council of the Republic of China under Contract No. NSC-102-2219-E-027-006.

videos recorded in some specific times and locations. In fact, such kind of messages can be beneficial for many people to solve the hit-and-run accidents by using social networks and driving videos.

For now, many cloud-based technologies has been proposed, and there are many exist tools to build our own cloud environment quickly such as Amazon EC2 [2], Microsoft Azure [3] and Hadoop[4]. Based on those cloud environments the server side can become more reliable and scalable.

The smart wearable devices have become very widespread and powerful and there are many traffic video recorder applications here in the smart devices, it can change your smart devices into the traffic video recorder and store it into the smart devices. This study proposes a traffic video searching and sharing platform. This platform can let people to share their car driving video and GPS track into database and search those driving video and GPS track data from database. The proposed platform includes the smart wearable devices application, video and GPS track database, users can ubiquitously upload and search the video records from the database.

II. SYSTEM ARCHITECTURE This study presents a traffic video searching, sharing

platform and a smart wearable devices application to help users record their driver scene. Fig. 1 depicts the overview architecture of the proposed system. The proposed platform is to help user share their driving scene video file and GPS track data, and other people can search those video file based on given specific latitude and longitude data. To search those video file based on specific geographic data (latitude and longitude), so the data we stored must be a geographic data, PostGIS [5] is an open-source geographic database, and it provide useful method for spatial and geographic search and it also need road network dataset to provide those methods. The road network dataset is that contain the location of nodes and length of the links, the map-matching algorithm is use those dataset to analysis and correction each GPS signal, and corrected it into possible right position. The dataset that used in proposed system is from Institute of Transportation [6].

The overview of the proposed platform can be divided into two major parts, the User Upload Module and the User Search Module. There are two user behaviors in the proposed system, upload and search. The top part of Fig. 1 shows the users’ upload and search behaviors. When user #1 desire to share his/her driving videos and GPS data through the upload

A Traffic Video Searching and Sharing Platform based on Smart Wearable Devices

Shyan-Ming Yuan1, Chuan-Yen Chiang1, Shian-Bo Yang1 and Yen-Lin Chen2,* 1Institute of Computer Science and Engineering, National Chiao Tung University, Hsinchu, Taiwan

2Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan

*ylchen@csie.ntut.edu.tw

2014 IEEE International Conference on Consumer Electronics (ICCE)

978-1-4799-1291-9/14/$31.00 ©2014 IEEE 85

module, there are two steps to follow; the first step is submitting the GPS track data and the second step is uploading the video file. In the Submit GPS Track step, the Upload Module will use MMA (Map-Matching Algorithm)[7]-[10] to relocate each GPS signal from GPS track data, and then show the result to the user #1 to confirm the result by the OpenLayer [11], which is an open-source JavaScript library that can display and render maps on web page. After confirming the GPS track data, the corrected GPS track data will be stored into the PostGIS database, and then the system will notify the user to upload his/her video file to complete the upload procedure. When user #2 wants to search video file in the specific time and location, first, the user should send the specific location to the Search Module, and the search module will query the data from PostGIS based on given location, and then return the search result to the user.

The proposed wearable devices application combines camera, GPS sensor and synchronize module. The camera module intercepts the driving scene and store transfer into the synchronize module. The GPS sensor module captures GPS data in each second and transfers into the synchronize module. The synchronize module will synchronize each record frame and GPS signal based on GMT (Greenwich Mean Time) and then store into storage.

Fig. 1 The system architecture of the proposed system

III. RESULTS In the results section, first we show the user interface of the

proposed smart wearable devices application(Fig. 2) and then the user interface screenshot of the upload module(Fig. 3), and then is the proposed search module(Fig. 4) screenshot, finally, is the search result screenshot of the proposed system(Fig. 5). The mobile application will sync GPS signal and video frame based on GMT every second and store into the storage. The upload module has three steps to help user to upload their GPS track file and video file, 1) Upload GPS track data. 2) Display and confirmed the GPS track data on the map. 3) Upload the video file. In the search module, the user can search the video file by given date and location, and then the user can select the result to play video file and display GPS track file on the map.

Fig. 2 The user interface of the wearable devices application

Fig. 3 The user interface of the upload module

Fig. 4 The user interface of the search module

Fig. 5 The result of search area.

IV. CONCLUSION This study proposed the searching and sharing platform that

contains smart wearable devices application and allow user to upload their video and allow other user to search it. The smart wearable devices application can help user to record and store their driving sense in the mobile phone storage and those driving video can be used to protect them if traffic accident being happened. In the other hand, the user can also share their driving video to other people through the upload module that is provided by the proposed platform. The user can provide specific time and location to the search module of the proposed platform, and it can search video file based on the given data. Then the user can select the results to watch the driving videos and GPS track data on the map. In case of the system performance, its development is based on the cloud environment that can provide satisfactory reliability and capability when the bandwidth becomes a bottleneck under the condition that many people use the system in the same time, and keep the uploaded video data with high security.

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[8] F. Marchal, J. Hackney and K. W. Axhausen “E cient map-matching of large GPS data sets Tests on a speed monitoring experiment in Zurich,” Journal of the Transportation Research Board, vol. 1935, pp. 93-100, 2005.

[9] Paul Newson and John Krumm “Hidden Markov map matching through noise and sparseness,” in Proceeding of International Conference on Advances in Geographic Information Systems, pp. 336-343, 2009.

[10] Yin Lou, Chengyang Zhang, Yu Zheng, Xing Xie, Wei Wang, and Yan Huang “Map-Matching for Low-Sampling-Rate GPS Trajectories,” in Proceeding of International Conference on Advances in Geographic Information Systems, pp. 352-361, 2009.

[11] OpenLayer - http://openlayers.org/

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