[PDF] Top 20 Human Activity Recognition Using HOG Features

Human Activity Recognition Using HOG Features

... Abstract— Human activity recognition is delivered information about the identity of a person, psychological state, and their ...The human ability to recognize human activities is one of ... See full document

7

Classification of Indian Classical Dance Steps using HOG Features

... dance recognition system has been designed based on Human activity ...of HOG parameters selected using Taguchi ...step. Recognition of complex actions and automatic removal of ... See full document

7

Human Action Recognition in Video using Histogram of Oriented Gradient (HOG) Features and Probabilistic Neural Network (PNN)

... projected human activity recognition system is illustrated in Figure ...gradient features (HOG) from each video frame. The HOG feature vectors from n consecutive video frames are ... See full document

9

Human activity recognition using symbolic sequences

... joints using the PrimeSense tracking ...with HOG features extracted from the depth maps, are given to a hierarchical maximum entropy Markov model (MEMM) to uncover the different characteristics of ... See full document

11

Feature extraction for robust physical activity recognition

... a Human Activity Recognition (HAR) system that uses a network of nine inertial measurement units situated in different body ...of features and proposing different normalization ...done ... See full document

16

Human Activity Recognition System to Benefit Healthcare Field by using HOG and Harris Techniques with K NN Model

... the human activities recognition (HAR) system in video ...for features extraction Histogram Of Oriented Gradient (HOG) and ...evaluated HOG with K-NN against with K-NN whether before ... See full document

8

Review on Signature Recognition using Neural Network, SVM, Classifier Combination of HOG and LBP features

... of HOG and LBP features with surf feature based recognition of offline signatures system that is trained with poor-resolution scanned signature ...a human being which can be used to ... See full document

5

Egocentric Activity Recognition using Histogram Oriented Features and Textural Features

... oriented features like HOG (Histogram of oriented gradients), HOF (Histogram of optical flow) and MBH (Motion Boundary Histogram) are ...These features are combined together to form a feature ... See full document

9

Using CNN and HOG Classifier to Improve Facial Expression Recognition

... of human communication are comprised of nonverbal communication; facial expression is the most common channel of communication which has currently gained a lot of attention within the computer vision ...facial ... See full document

5

Gesture Recognition for Indian Sign Language using HOG and SVM

... successful human machine interfaces system to recognize Indian Sign Language (ISL) under ambiguous ...by using histogram of oriented gradients feature matching and support vector machine ...trained ... See full document

5

Using Convolutional Layer Features for Indoor Human Activity Recognition based on Spatial Location Information

... Identifying human actions has great importance for various applications, especially in the smart home, fitness tracking and health monitoring ...However, human activity recognition still ... See full document

8

One-Shot-Learning Gesture Recognition using HOG-HOF Features

... gesture recognition systems developed on the ChaLearn Gesture Dataset ...of HOG-HOF descriptors together with variants of a Dynamic Time Warping ...between human performance and algorithms on this ... See full document

20

Human Action Recognition Using SURF and HOG Features from Video Sequences

... Typically, the codebook is generated using the k-means algorithm. After generating the visual vocabulary i.e. the codebook, every video can be represented by the bag-of-features model. The ... See full document

6

A Two-Staged Approach to Vision-Based Pedestrian Recognition Using Haar and Hog Features

... pedestrian recognition in a ...of human bodies in images, thus also being able to detect stationary ...object recognition based on Haar-like wavelet features and an Adaboost classification ... See full document

10

Automatic facial expression recognition based on MRELBP and compressive sensing

... expression recognition plays a significant role in human-computer interaction, social interaction, perception, social intelligence, educational scenarios, E-Learning environments ...better ... See full document

7

Facial Expression Recognition using Fusion of LBP and HoG Features

... Emotion recognition is carried out in various ways, which can be verbal or ...facial features, action, gestures is non-verbal form of ...in human communication only 7% communication is accounted ... See full document

5

Chinese Text Detection and Recognition in Natural Scene Using HOG and SVM

... used HOG descriptor to detect passengers in still images, and later expanded this method for detecting animals and ...of HOG descriptor is that the contour and shape of a local target in images can be ... See full document

5

Classifiers for Detection of Retinal DME Diseases in B-SCAN OCT Images using Image Processing Techniques

... images. Using both classifiers 45 OCT image data sets are used for training and after training for testing 40 images 10 normal and 30 DME affected OCT images are used for ...calculated using the Equations ... See full document

6

Prediction of Fruits and Flowers using Image Analysis Techniques

... Manual counting of products in farm may lead to bad estimations due to the inaccuracy. If it is overestimated, it will cause the farm to lose money on the shipping part. On the other hand, the products are ... See full document

7

Automatic Plant Detection Using HOG and LBP Features With SVM

... Texture is a major feature to identify the plants. It describes the surface of the leaf. Backes and Bruno [15] used textural features to classify the plant leaf images. They modeled texture as a surface and ... See full document

13