Visual engineering surveillance camera Manual de usuario descargar pdf (Pagina 2)

International Journal of Computer Applications (0975 – 8887)

Volume 64– No.13, February 2013

Simulation flow:

Figure 1: The simulation flow diagram of the algorithm

Real time flow:

Figure 2: The simulation flow diagram of the real time

implementation using DM355 board

This section describes the implementation of real time object

detection and tracking algorithm on DSP. The system model

is divided into three main parts they are video decoding,

processing and encoding the processed output to required

format. The video decoder is used to convert the analog video

from the camera to digital format and the algorithm is

processed in TMS320C6x processor after the processing the

video encoder is used to change the output to required format

to display.

Figure 3: Implementing System Model.

3.1 Algorithm flow

The flow of algorithm is shown in Fig.4 as a flow chart and

the process is explained in steps,

1. The video input received from the Analog Camera

is converted into frames.

2. Object detection is done by using frame difference

method.

3. Post processing is done to enhance the segmented

image in order to improve the required result.

4. Feature Selection is based on Centroid of an object

to plot the location of non-rigid body (objects) with

frame to frame.

5. The Object Representation is done by rectangular

shape to cover the object boundary to represent the

object.

Figure4: Real time implementing flow diagram

The real time implementing method uses DM355 board of

Texas instruments which contains TMS320C6x Processor for

processing the videos. An analog surveillance camera is

connected with the board and the algorithm is verified. To

verify the algorithm stability the board is connected to the

system and video are collected from the databases under

various climatic and illumination conditions.

Figure 5: Snapshot of the Real time implementing method

in the Lab.

Code Composer Studio™ (CCStudio) an integrated

development environment (IDE) for Texas Instruments’ (TI)

embedded processor families is used to verify the code which

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