If you’ve been following along – I’ve been working with AWS Rekognition to detect people in security camera footage.
I have previous posts that discuss the results.
I’m now running the images through OpenCV using the pre-trained HOG + Linear SVM model. The picture in this post is an example of the output from OpenCV with a person detected and a bounding box drawn.
Over the next day or two I’ll start processing all the images with both Rekognition and OpenCV. I’ll also be capturing the results in Neo4j (where I’m already capturing the Rekognition object labels) to allow for comparative analysis.
Stay tuned…