To improve the detection accuracy we propose a new descriptor that fuses the local phase information, image gradient, and texture features as a single ...
To improve the detection accuracy we propose a new descriptor that fuses the local phase information, image gradient, and texture features as a single.
Nov 30, 2022 · We propose a multi-scale feature extraction fusion model combining Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU).
May 21, 2024 · Principal component analysis (PCA) is implemented to reduce the dimension of the gradient histogram and the global descriptor, and bag of words ...
Missing: approach efficient
In this work, a new human face recognition algorithm based on bidirectional two dimensional principal component analysis (B2DPCA) and extreme learning ...
A novel hybrid human action detection method based on three descriptors is proposed. Firstly, the minimal 3D space region of human action region is detected ...
Nov 9, 2021 · A multifeature fusion human action recognition algorithm based on deep reinforcement learning was designed, which achieved the improvement of recognition ...
A multi-feature fusion technique for thermal face recognition is proposed. •. Proposed method is robust to noise, occlusion, expression, low resolution and ...
Jul 12, 2021 · We propose a novel multi-feature fusion method in merging information of heterogenous-view data for oil painting image feature extraction and recognition in ...
These approaches focused on the distinct use of classifiers, segmentation techniques, and feature extraction methods. Segmentation methods for human detection ...