1) Hao Zheng et-al, Design of Mobile Video Surveillance Based on Android, IEEE CSSS, 2012
This paper introduces a system architecture of using mobile video based surveillance using smartphone. The paper goes on detail in streaming media transmission, h.264 and FFmpeg decoding in detail. The performance metric used in this paper is mainly image quality, delay, fluency. Some of the lacking points of this paper in terms of surveillance using smartphone is: i) only considering video as an input and not considering any other sensors, ii) no performance metric to validate improvements in surveillance using mobile surveillance approach rather than regular traditional approaches. But, overall, the paper showed that, mobile video over 3G network can be used in surveillance.
2) Iria Estevez-Ayres et-al, Using Android Smartphones in a Service-Oriented Video Surveillance System, IEEE ICCE, 2011
3) Won-Ho Chung, A smartphone watch for mobile surveillance service, J. Personal and Ubiquitous Computing, 2012
The papers also introduce a system of using IP cameras along with smartphones and describe a video based surveillance system. It gives an overall architecture which provides more flexibility in the surveillance system by using smartphones as user terminals to watch and control over various areas of interest. Some of the lacking points in these papers in terms of surveillance using smartphone is: i) No use of other sensors in improving surveillance. ii) No performance metric to validate improvements in surveillance. But, overall, the paper makes a contribution in identifying that a smartphone can be used as a user terminal and can give a flexibility over traditional surveillance approaches in terms of control.
4) Sangseok Yoon et-al,Virtual Lock: A Smartphone Application for Personal Surveillance Using Camera Sensor Networks, 17th IEEE RTCSA, 2011
This paper introduces a sensor network application for home surveillance using smartphone and wireless camera sensor motes. If an interested event is detected, then a notification is sent to the user via smartphone. It demonstrates the potential of camera sensor networks in surveillance. A system architecture is defined which has motes, connected to a server that can talk to both motes and the smartphone and also proposed light weight computer vision algorithms for detection. Some of the lacking points are: i) Not using other sensors and relying only on camera motes.
Looking into the current literature and most relevant papers, we can conclude that multi-modal sensing using smartphones for surveillance is a new and novel concept. A new system architecture will be proposed by us and a potential scheduling problem can arise, that I will discuss later in detail. Once we gather all related sensor data from our smartphones for surveillance inside a building, then we want to upload all those data to server for detection and some of the constraints are mainly, wi-fi capacity and a scheduling problem may arise about how to upload data based on its importance and bandwidth constraints.
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