[PDF] Top 20 Trajectory-based Human Action Recognition

Trajectory-based Human Action Recognition

... popular trajectory-based human action recognition ...conventional trajectory encoding algorithms by con- sidering higher order derivatives of individual ...method based on ... See full document

131

A REVIEW ON MACHINE LEARNING ALGORITHMS ON HUMAN ACTION RECOGNITION

... The use of neighborhood features in real life recognition was stretched out from article recognition in images. The nearby features allude to the description of focuses and their surroundings in the 3D ... See full document

11

Temporal scale Convolutional Networks for Human Action Recognition Based on Key Frame Extraction

... state-of-the-art action recognition ...all based on the two-stream ...proposed action classifier achieved the highest recognition accuracy of ... See full document

6

A Hybrid Feature Extraction Approach for Human Action Recognition System based on Skeleton Data

... activity recognition is an important field for applications such as surveillance, human-computer interface, content-based video retrieval, ...automated human activity recognition is ... See full document

8

A Robust Invariant Feature Descriptor for Human Action Recognition

... mainly based on low-level features extracted from depth ...interpret human actions by motions from key joints of human ...track human actions in video streams. Conventional approach of ... See full document

6

Soft Computing Approaches for Human Action Recognition: A Review

... An Artificial Neural Network (ANN) is made of many highly interconnected processing elements, which are working in together to solve specific problems. ANN can be configured for problems like pattern recognitions or ... See full document

7

Handcrafted vs learned representations for human action recognition

... Human action recognition as one of the most active topics in computer vi- sion has long been in the last few decades, and its potential applications can be found in many important areas such as ... See full document

7

SYSTEM-ON-A-CHIP (SOC)-BASED HARDWARE ACCELERATION FOR HUMAN ACTION RECOGNITION WITH CORE COMPONENTS

... same operation is executed by the PL block. For a single frame at HD resolution, we measured an acceleration factor of 300. This testing algorithm for measuring the acceleration factor was proposed by Xilinx [68] for the ... See full document

187

Artificial Intelligence based Human Facial Action Recognition by Deep Learning Neural Network

... any human or individual is essential in the modern ...any human the expression itself will describe the state of the mind of the ...the human inner feelings ...expression based on the ... See full document

5

Action recognition using length-variable edge trajectory and spatio-temporal motion skeleton descriptor

... skeletons. An overview of the proposed pipeline is shown in Fig. 1. First, we compute the edges and optical flow of each frame of an input video. Second, we generate the length-variable edge trajectories (LV-ET) ... See full document

15

Learning Discriminative Visual Codebook for Human Action Recognition

... for human action recognition which employs K-means to obtain action-specific codebooks and finds the nearest-neighbor visual word to quantize ...codebook based on distance ...patches ... See full document

10

Multi Temporal Depth Motion Maps Based Local Binary Patterns for 3D Human Action Recognition

... among human body parts are explicitly modeled as curves using a Lie ...skeleton-based action recog- ...high recognition performance, skeleton-based methods are not applicable for ... See full document

13

Recognition of Human Action Interaction using Motion History Image

... is action detected frame. The action detected frame is key ...done based on the extracted feature value. Based on the centroid value for each group label is given for each ...the action ... See full document

6

Human action recognition using transfer learning with deep representations

... towards human action recognition because of its numerous ...include: Human- Computer Interaction (HCI), video surveillance, Ambient- Assisted Living (AAL), entertainment, and intelligent ... See full document

7

Human Action Recognition Using Ordinal Measure of Accumulated Motion

... Recognizing human actions has become critical with increas- ing demand of high-level scene understanding to analyze behaviors and interactions of humans in the ...the action recognition systems [2]. ... See full document

11

Simple and Complex Human Action Recognition in Constrained and Unconstrained Videos

... the action recognition ...an action from a fixed ...changed based on a variety of body poses derived from different camera ...same action and different viewpoints are utilized to train ... See full document

165

A Novel Trajectory-based Spatial-Temporal Spectral Features for Speech Emotion Recognition

... advance human-machine interface design and human behavior ...termed trajectory-based spatial-temporal spectral features, to recognize emotions from ...dense trajectory-based ... See full document

12

Human Object Behavior Monitoring System based on Machine Learning Algorithm

... Human action recognition is an active research field, due to its significance in a wide range of applications, such as intelligent surveillance, human-computer interaction, ... See full document

8

Use of Microsoft Kinect in a dual camera setup for action recognition applications

... Kinect however is still a single device, and its ability to handle occlusions is not very ef- fective. Obdrzalek et al. [22] tested the reliability and accuracy of the Kinect’s human pose estimation based ... See full document

106

A Review on Action Recognition and Action Prediction of Human(s) using Deep Learning Approaches

... odometry based novel two-stream Bayesian LSTM encoder-decoder is proposed and evaluated by the authors in their work ...sampled human rights-centric dataset, called the Human Rights Understanding ... See full document

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