Invention Grant
US09001199B2 System and method for human detection and counting using background modeling, HOG and Haar features
有权
使用背景建模,HOG和Haar功能进行人体检测和计数的系统和方法
- Patent Title: System and method for human detection and counting using background modeling, HOG and Haar features
- Patent Title (中): 使用背景建模,HOG和Haar功能进行人体检测和计数的系统和方法
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Application No.: US13160743Application Date: 2011-06-15
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Publication No.: US09001199B2Publication Date: 2015-04-07
- Inventor: Aniruddha Sinha , Rohit Gupta , Ayan Chaki , Arpan Pal
- Applicant: Aniruddha Sinha , Rohit Gupta , Ayan Chaki , Arpan Pal
- Applicant Address: IN Mumbai
- Assignee: Tata Consultancy Services Limited
- Current Assignee: Tata Consultancy Services Limited
- Current Assignee Address: IN Mumbai
- Agency: Akerman LLP
- Agent Peter A. Chiabotti; Roy P. Zachariah
- Priority: IN1359/MUM/2011 20110429
- Main IPC: H04N9/47
- IPC: H04N9/47 ; G06K9/00

Abstract:
A system for adaptive learning based human detection for channel input of captured human image signals, the system comprising: a sensor for tracking real-time images of an environment of interest; a feature extraction and classifiers generation processor for extracting a plurality of features and classifying the features associated with time-space descriptors of image comprising background modeling, Histogram of Oriented Gradients (HOG) and Haar like wavelet; a processor configured to process extracted feature classifiers associated with plurality of real-time images; combine the plurality of feature classifiers of time-space descriptors; evaluate a linear probability of human detection based on a predetermined threshold value of the feature classifiers in a time window having at least one image frame; a counter for counting the number of humans in the real-time images; and a transmission device configured to send the final human detection decision and number thereof to a storage device.
Public/Granted literature
- US20120274755A1 SYSTEM AND METHOD FOR HUMAN DETECTION AND COUNTING USING BACKGROUND MODELING, HOG AND HAAR FEATURES Public/Granted day:2012-11-01
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