1. Detection of individual people in the acquired images.
2. Analysis of crowd density distribution within the acquired images, i.e. building the crowd density map over the acquired image.
3. Classification of the crowd density map fluctuations over the recent images (video-frames) into a number of scenarios (focusing on scenarios which might be considered potentially dangerous).
Note: We would like your suggestion on suitable tools that would be useful for this project (i.e. YOLO or RCNN)
Bu iş için 12 freelancer ortalamada $138 teklif veriyor
Hey, I am already working on similar algo to extract crowd detection and counting people present. I can give good solution for your requirement
Hello, I am an MSC majored in mathematics. I have rich exp in ACM/ICPC and deep understandings of algorithms. I attended at ACM regional contest several times and won medals there. I am an MSc majored in mathematics. ( Daha Fazla
Hello, I am an AI Engineer. I am having experience working on open cv, deep learning, object detection with yolo. I am sure about completion of your project. Kindly respond for further discussions.
hi, I am a researcher in the field of deeplearning and image processing. I have worked on different classification algorithms and RCNN based algorithms. we can talk about in more d tails if you give me a chance.