17 Nov 2014

Final Year Android Engineering Project-Moving Object Detection


Android Based Moving objects systems are becoming increasingly important for crime investigation and the number of cameras installed in public space is increasing. However, many cameras installed at fixed positions are required to observe a wide and complex area. In order to efficiently observe such a wide area at lower cost, mobile robots are an attractive option.
This paper presents architecture to improve surveillance applications based on the usage of the service oriented paradigm, with android smart phones as user terminals, allowing application dynamic composition and increasing the flexibility of the system.
According to the result of moving object detection research on video sequences, the movement of the people is tracked using video surveillance. The moving object is identified using the image subtraction method. The background image is subtracted from the foreground image. From that the moving object is derived. 
So the frame algorithm and the threshold value is calculated to find the moving image. Using frame algorithm the moving frame is identified. Then by the threshold value the movement of the frame is identified and tracked. Hence the movement of the object is identified accurately.


The ability to extract moving objects in real time from live video data using an embedded processor is our primary aim. Alert Sound.


The detection, matching and classification of human appearance is a challenging problem. A further weakness of video detection is the limitation of conventional camera systems to operate under wide dynamic range lighting, which is typical for outdoor applications. Therefore, real-time video based tracking application are mostly constrained with limited.


Most of the recorded images are of insufficient quality to hold as evidence in a law court
It is also expensive to have human operators monitoring real-time camera footage 24/7.


In the existing system, the moving object is identified using the some algorithms which are not exactly doing that detection works.
Image is can be stored in the server and it can be retrieve after some time.
Moreover there is no alert system to inform the admin when unknown object is detected.
Image Retrieval from the remote place is not done in the existing system.


  •  There is no accuracy in the captured image.

  •  The moving object cannot be detected correctly.

  •  No alert about the motion detection to the user.

  •  Image cannot be retrieve at the time of motion detection.


In the Proposed system, the moving object is identified using the image subtraction method.
 The background image is subtracted from the foreground image. From that the moving object is identified. Here we can detect the exact image of the moving object.
 Another advantage of this system is when an unknown image is captured by the system it will alert the user automatically by sending an SMS to user’s mobile.
 User will be using Android Mobile for the Retrieval of Images from the remote place to know whether those images are important and can be ignored.
 If some known people would have entered in the closed room, which can be ignored, as they are reliable people. In this paper, we present a QoS-aware service-based architecture for surveillance systems, and a prototype of this architecture, where a Android Based Moving objects application is developed over the Android platform.

  •  High accuracy in image capturing
  •  Send an alert to user’s mobile whenever a new object is detected
  •  Image can be stored in the server and can be view at the time of motion detection
  •  User can view the image, or video clips via his Android mobile itself
  •  Programming paradigms have allowed increasing the dynamism and flexibility of distributed environments


Software Requirements:

  •  Operating system : Windows XP
  •  Technology Used : Android 2.2
  •  IDE : Eclipse 3.4 (min)
  •  Emulators : Micro emulator 5055
  •  Plug-in : ADT plug-in
  •  Tools used : Android SDK1.2,
  • GoogleAPIv8 or minv7

Hardware Requirements

 Processor : Pentium P4
 Motherboard : Genuine Intel
 RAM : Min 1 GB
 Hard Disk : 80 GB

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