Fusion of Texture and Optical Flow Using Convolutional Neural Networks for Gender Classification in Videos.
Jag Mohan SinghRaghavendra RamachandraPatrick BoursPublished in: INTAP (2020)
Keyphrases
- gender classification
- convolutional neural networks
- optical flow
- dynamic textures
- facial needle maps
- facial images
- image sequences
- video sequences
- least squares
- flow field
- motion model
- motion estimation
- computer vision
- texture features
- face alignment
- texture images
- motion parameters
- facial shape
- d scene
- moving objects
- statistical model
- recognition rate
- three dimensional
- human actions
- human activities
- anisotropic diffusion
- camera motion
- face detection
- feature extraction