[PDF] Top 20 Fast human detection for video event recognition
Has 10000 "Fast human detection for video event recognition" found on our website. Below are the top 20 most common "Fast human detection for video event recognition".
Fast human detection for video event recognition
... The machine learning algorithm intends to minimize the error probability of feature classifier. Haar-like features based human detection simplify the classifier to a dynamic threshold which can minimize ... See full document
7
Video Event Detection Using FP-Growth Tree
... For fast decompression schemes, the total time cost of transferring compressed data and subsequently decompressing is potentially much less than the cost of transferring uncompressed ... See full document
6
An analytical study of information extraction from unstructured and multidimensional big data
... acoustic event detection; ANN: artificial neural network; ASR: automatic speech recognition; AVS: automatic video summarization; BFM: Bayesian fusion model; CNN: convolutional neural network; ... See full document
38
Human Face Recognition in Video using Convolutional Neural Network (CNN)
... face recognition algorithm due to these approaches there is a huge increase in recognition accuracy, it reduces the computational ...the human face recognition from video [6]. ... See full document
7
Robust Recognition of Specific Human Behaviors in Crowded Surveillance Video Sequences
... The places where one person can meet another are limited, because people do not stop where traffic density is high. Before meeting someone, a person tends to slow down his walking speed before stopping. A slight bias in ... See full document
14
Multi-Modal Representation of Public Safety Events Using Social Media and Surveillance Dhanya Vijay, S. Antony Mutharasan
... safety event is a danger and urgent event that need early detection, fast response and exact ...safety event is to collect and describe the related ...safety event, videos from ... See full document
7
ABNORMAL EVENT DETECTION IN VIDEO STREAMS USING HOFO
... abnormal detection approaches the behaviour patterns modelled by using optical flow In [12], eachframe was split into small ...identify human beings, the derivatives of optical flow, duand dv, were ... See full document
7
Video Based Facial Detection & Recognition
... Facial Detection & Recognition was first introduced to the world in year 1977 by Kanade using a human face vector ...texture recognition came into light in 1994 and later for better ... See full document
5
Improved Behavior Monitoring and Classification Using Cues Parameters Extraction from Camera Array Images
... their human detection, tracking and behavior recognition from video sequences captured by a depth ...monitoring fast human body- parts ...automatic video surveillance, ... See full document
8
Classification of Indian Classical Dance Steps using HOG Features
... of human activity ...for human activity recognition for KTH, Weizmann dataset and Ballet ...average recognition rate of ...a human detection system based on Histogram of Oriented ... See full document
7
Video Volume Segmentation for Event Detection
... The STV segmentation methods devised in this research so far are mainly based on extending the 2D image segmentation techniques into 3D domain. In the 3D environment, the volume segmentation process is similar to ... See full document
7
Event Detection in Video Using Saliency Value and Histogram of Optical Flow
... Among several methods for abnormal event recognition, KNN (k Nearest Neighbors) classifier is one of the most commonly used method and has been applied in a variety of cases. KNN Classifier works as ... See full document
5
Online video analysis for abnormal event detection and action recognition
... abnormal event detection. They suggest that abnormal event detection methods should be designed considering large-scale operation ...abnormal event is people ... See full document
177
Neuro-Fuzzy Based Real Time Object Tracking SUNITHA.M 1, SHANMUGAPRIYA.K2
... in video pictures has attracted a great deal of interest. Object detection and recognition are natural capabilities of human beings but are tremendous challenges to implement using artificial ... See full document
6
Compact and low complexity binary feature descriptor and Fisher Vectors for video analytics
... of video content circulate on the internet every second ...analyze video data [2], ...action recognition [6, 7], video surveillance [8, 9], and abnormal event detection [10, ... See full document
17
Real Time Object Detection: A Survey
... Object Recognition and Segmentation techniques in context with images and ...processing, video recognition, shadow detection, Human Activity Recognition and many ...object ... See full document
7
Extracting Social Networks and Biographical Facts From Conversational Speech Transcripts
... We divided the data into training, development, and test data sets. Table 2 shows the size of each data set. The training set includes transcripts of partial interviews. The development set consists of 5 complete ... See full document
8
Biometric Recognition Technique for ATM System
... Facial recognition (or face recognition) is a type of biometric software application that can identify a specific individual in a digital image by analyzing and comparing ...facial recognition ... See full document
7
Recognition Of Face Detection System Based On Video
... Face recognition can be used even in college or schools where a system can be designed to take attendance in ...face recognition system can be developed to eliminate such ... See full document
24
On Parsing Visual Sequences with the Hidden Markov Model
... visual event recognition lies in an uninformed choice of models and ...Here event segmentation and classification become a single inference problem and the Viterbi stage alignment automatically ... See full document
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