OpenPose
姿勢認識です.すでにExampleファイルの中に詳しく説明があるので,そちらを参照すれば動かせます.
// // this sample demonstrates the use of pretrained openpose networks with opencv's dnn module. // // it can be used for body pose detection, using either the COCO model(18 parts): // http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/coco/pose_iter_440000.caffemodel // https://raw.githubusercontent.com/opencv/opencv_extra/master/testdata/dnn/openpose_pose_coco.prototxt // // or the MPI model(16 parts): // http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/mpi/pose_iter_160000.caffemodel // https://raw.githubusercontent.com/opencv/opencv_extra/master/testdata/dnn/openpose_pose_mpi_faster_4_stages.prototxt // // (to simplify this sample, the body models are restricted to a single person.) // // // you can also try the hand pose model: // http://posefs1.perception.cs.cmu.edu/OpenPose/models/hand/pose_iter_102000.caffemodel // https://raw.githubusercontent.com/CMU-Perceptual-Computing-Lab/openpose/master/models/hand/pose_deploy.prototxt //
複数人の検出等は元々のプロジェクトを追うと再現できます.