Taking DM642 as the core, an intelligent video analysis system is designed to support standard definition video. Adopt modular design, through video intelligent analysis, realize the detection, identification, tracking and early warning functions of the target.
0 Preface
With the rapid development of security monitoring systems, new intelligent video analysis technologies are becoming more and more mature. The intelligent video analysis system is based on image processing technology. In addition to all the functions of the traditional security monitoring system, it also has the functions of threat target detection, identification, tracking and early warning, and Ethernet video transmission. It can achieve 24 hours in complex scenarios Continuous monitoring and automatic warning.
The currently widely used security monitoring system is based on the traditional PC platform, with high cost, large volume, complicated operation, and limited scope of use. In this paper, Texas Instruments (TI) DM642 is used as the core to design and implement a low-cost intelligent video analysis system. This system analyzes video streams to realize the detection, identification, tracking and early warning functions of threat targets, and through the Ethernet The network realizes the compression transmission of video. The products can be widely used in the construction of traditional video surveillance projects to improve the intelligence of security surveillance systems.
1 Hardware composition
This article uses the DM642 processor of the American TI company, the core of the processor is the 600 MHz TMS320C64xDSP core, which can effectively implement complex video processing and analysis algorithms.
The intelligent video analysis system hardware platform provides 1 analog video input, 2 RS 232, and 1 Ethernet port, which can be connected to a standard CMOS camera and monitoring backend. The hardware of the system adopts a modular design, consisting of an image processing board, a power supply module, and a video IP module, as shown in Figure 1.
The image processing board is used to receive the analog video of the camera, analyze and process the video stream, and transmit the processed analog video stream to the IP module of the video server.
The video server IP module receives the analyzed analog video stream, and outputs the encoded and compressed video information to the monitoring backend. Receive the parameter setting and control information of the monitoring back-end, and pass the parameter setting information to the image processing board, and pass the control information to the on-site alarm equipment control device to start and stop.
2 Software architecture and process
The software of intelligent video analysis system mainly includes video processing module, intelligent analysis module, decision-making module, image compression module and so on. The system software workflow is shown in Figure 2. The interface of all algorithms conforms to TI's xDAIS standard.
The video processing module includes data acquisition, data processing, and preprocessing, as shown in Figure 3. After the analog video signal of the CMOS camera is collected by the A / D chip of the image processing board, the standard YUV digital video stream is encoded and output, and the image processing board performs video preprocessing on the YUV digital video stream.
The algorithm of the video preprocessing module includes data processing and preprocessing. Data processing is used to adjust, compress and store the collected video stream, and the video stream is transmitted via Ethernet. The preprocessing mainly includes camera calibration, as well as image filtering, enhancement and restoration.
The original code stream captured by the image processing board via the A / D chip has low image quality due to illumination, noise, jitter, lens distortion, etc., so it needs to be preprocessed to extract the required information. Before using the camera device, the camera lens parameters need to be calibrated, including obtaining the external and internal parameters of the camera lens.
The external parameters refer to the position and orientation of the camera lens relative to the geodetic coordinate system; the internal parameters are the optical characteristic parameters of the camera lens. These parameters include the lens focal length value, radial lens distortion value, axial lens distortion value and other system error parameters value.
The intelligent analysis module mainly detects and measures the target information of interest in the preprocessed image to obtain objective information of these targets. The intelligent analysis module includes algorithms such as target segmentation, target positioning, target tracking and feature extraction, as shown in Figure 4.
The intelligent decision module uses the results of the intelligent analysis module to obtain an understanding of the meaning of the image content, including the interpretation of continuous scenes, by studying the nature of multiple targets in the image and the relationship between them, thereby realizing the identification of threat targets , Tracking and early warning. The intelligent decision-making module includes algorithms such as target recognition, behavior understanding, threat estimation, and decision reasoning, as shown in Figure 5.
3 Conclusion
This design implements an intelligent video analysis system on the DM642 platform. Through optimization algorithms, it can meet the requirements of 24 h uninterrupted and efficient monitoring of complex scenes. It has the advantage of low false alarm rate and realizes low-cost standard definition intelligent video analysis. The application prospect is broad.
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