OpenCV with Network Cameras: A Comprehensive Guide
When working with network cameras, accessing frame data for image processing and analysis tasks often becomes crucial. This article explores how to utilize OpenCV, a powerful computer vision library, to grab frames from network cameras effectively.
Addressing the Challenge
A user inquired about acquiring frames from a network camera using OpenCV 1.1pre1. The camera streamed MPEG4 over RTSP or MJPEG over HTTP. Despite extensive research, the user encountered difficulties in using FFMPEG with OpenCV.
The OpenCV Solution
For OpenCV versions 2.0 and above, a C code snippet is provided below to retrieve frames from the network camera:
#include "cv.h" #include "highgui.h" #include <iostream> int main(int, char**) { cv::VideoCapture vcap; cv::Mat image; const std::string videoStreamAddress = "rtsp://cam_address:554/live.sdp"; if(!vcap.open(videoStreamAddress)) { std::cout << "Error opening video stream or file" << std::endl; return -1; } cv::namedWindow("Output Window"); for(;;) { if(!vcap.read(image)) { std::cout << "No frame" << std::endl; cv::waitKey(); } cv::imshow("Output Window", image); if(cv::waitKey(1) >= 0) break; } }
In the code, videoStreamAddress can be an MJPEG stream address like "http://user:pass@cam_address:8081/cgi/mjpg/mjpg.cgi?.mjpg".
To grab frames from H.264 RTSP streams, refer to your camera's API for specific URL command details. For example, an Axis network camera's RTSP address might be:
rtsp://10.10.10.10:554/axis-media/media.amp
This solution leverages the cv::Mat structure, favored over the legacy IplImage structure. The code creates an output window for frame display, avoiding inefficient window creation with each imshow(...) call.
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