Time for an update on my ongoing person identification in images project; for all the background you can check out these previous posts: Analyzing AWS Rekognition Accuracy with Neo4j AWS Rekognition Graph Analysis – Person Label Accuracy Person Recognition: OpenCV vs. AWS Rekognition In my earlier serverless series I discussed and provided code for getting… Continue reading Person Recognition in Images with OpenCV & Neo4j
Tag: computer vision
Person Recognition: OpenCV vs. AWS Rekognition
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… Continue reading Person Recognition: OpenCV vs. AWS Rekognition
AWS Rekognition Graph Analysis – Person Label Accuracy
Last week I wrote a post evaluating AWS Rekognition accuracy in finding people in images. The analysis was performed using the Neo4j graph database. As I noted in the original post – Rekognition is either very confident it has identified a person or not confident at all. This leads to an enormous number of false… Continue reading AWS Rekognition Graph Analysis – Person Label Accuracy