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Integral Channel Features

Piotr Dollar, Zhuowen Tu, Pietro Perona, Serge Belongie
2009 Procedings of the British Machine Vision Conference 2009  
The general idea behind integral channel features is that multiple registered image channels are computed using linear and non-linear transformations of the input image, and then features such as local  ...  Although integral channel features have proven effective, little effort has been devoted to analyzing or optimizing the features themselves.  ...  using integral images. We refer to such features as integral channel features, see Fig. 1 .  ... 
doi:10.5244/c.23.91 dblp:conf/bmvc/DollarTPB09 fatcat:7kdudt7jzrgtxdjpmy3jbq6rka

Fall Detection Based On Dual-Channel Feature Integration

Bo-Hua Wang, Jie Yu, Kuo Wang, Xuan-Yu Bao, Ke-Ming Mao
2020 IEEE Access  
This paper presents a novel visual-based fall detection approach by Dual-Channel Feature Integration.  ...  Then, a dual-channel sliding window model is designed to extract the dynamic features of the human body (centroid speed, upper limb velocity) and static features (human external ellipse).  ...  FALL EVENT DETECTION RESULTS To evaluate the reliability of the proposed dual-channel feature integration model, we tested the model on the Le2i Fall Detection Dataset and UR Fall Detection Dataset which  ... 
doi:10.1109/access.2020.2999503 fatcat:iltgni55njcxhhiza4mtnk7lwi

An Integrated Framework for Competitive Multi-channel Marketing of Multi-featured Products [article]

Swapnil Dhamal
2018 arXiv   pre-print
We hence develop a framework for integrating the considered marketing channels into the social network, and an approach for allocating budget among these channels.  ...  In this direction, we propose and analyze a multi-featured generalization of the classical linear threshold model.  ...  We first describe LT model, followed by our competitive multi-feature generalization, and then integration of other channels into this generalized model. Table I presents notation.  ... 
arXiv:1804.05525v1 fatcat:fth4nxhkwnd5pn54krdyilbegm

Integrating Spectral and Spatial Features for Multi-Channel Speaker Separation

Zhong-Qiu Wang, DeLiang Wang
2018 Interspeech 2018  
This paper tightly integrates spectral and spatial information for deep learning based multi-channel speaker separation.  ...  The speaker dominance at each T-F unit is determined by a twochannel permutation invariant training network, which combines spectral and interchannel phase patterns at the input feature level.  ...  Multi-Channel Speech Enhancement The enhancement network takes in spectral features, initial mask estimates by the two-channel PIT network, and directional features to improve the mask estimation of target  ... 
doi:10.21437/interspeech.2018-1940 dblp:conf/interspeech/WangW18 fatcat:lataq7hgebdhzbwhitx7oabdzm

Pedestrian Detection Using Integrated Aggregate Channel Features and Multitask Cascaded Convolutional Neural-Network-Based Face Detectors

Jing Yuan, Panagiotis Barmpoutis, Tania Stathaki
2022 Sensors  
on aggregate channel features via a score combination module.  ...  At the same time, the proposed method achieves a comparable performance to FRCNN on the INRIA test set compared with sole use of the Aggregated Channel Features detector.  ...  The celebrated Aggregated Channel Features (ACF) [14] , variants of the Integral Channel Features (ICF) [15] , were proposed.  ... 
doi:10.3390/s22093568 pmid:35591256 pmcid:PMC9104384 fatcat:ncnsj2qj45b7rporahnrtnjxfi

An Integrated Framework for Competitive Multi-channel Marketing of Multi-featured Products

Swapnil Dhamal
2019 2019 11th International Conference on Communication Systems & Networks (COMSNETS)  
We hence develop a framework for integrating the considered marketing channels into the social network, and an approach for allocating budget among these channels.  ...  In this direction, we propose and analyze a multi-featured generalization of the classical linear threshold model.  ...  We first describe LT model, followed by our competitive multi-feature generalization, and then integration of other channels into this generalized model. Table I presents notation.  ... 
doi:10.1109/comsnets.2019.8711441 dblp:conf/comsnets/Dhamal19 fatcat:mb2yyxqlybapbgqtbxr7i2jjme

Fast Classification of Empty and Occupied Parking Spaces Using Integral Channel Features

Martin Ahrnbom, Kalle Astrom, Mikael Nilsson
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
The system is based on fast integral channel features and machine learning. The methods are well suited for running embedded on low performance platforms.  ...  The method combines Integral Channel Features [8] with Logistic Regression [13] and Support Vector Machine [10, 4] .  ...  The averages can be calculated efficiently by computing an integral image of each feature channel similar to Viola and Jones [16] .  ... 
doi:10.1109/cvprw.2016.200 dblp:conf/cvpr/AhrnbomAN16 fatcat:us5i2udn7fdbndrw6diwqigpq4

Single-channel signal Features for Estimating Microphone Utility for Coherent Signal Processing

Michael Günther, Andreas Brendel, Walter Kellermann
2019 Proceedings of the ICA congress  
In this case, estimating the channel utility ranking from simpler, single-channel features, e. g., statistical moments of the time-domain signal waveform or of the corresponding magnitude spectrum instead  ...  In this contribution, we investigate the efficacy of different single-channel signal features for determining candidate sets of sensors signals for synchronization in sensor networks.  ...  FEATURES In this section, we give a brief overview of possible single-channel features. Many different acoustic features have been devised to describe sounds [5, 10] .  ... 
doi:10.18154/rwth-conv-239041 fatcat:xbwaxtuqgvgmrkz4jyydefr4g4

The Features of TV and Radio Channels' Integration with Social Networks in Chuvash Republic
ОСОБЕННОСТИ ИНТЕГРАЦИИ ТЕЛЕ- И РАДИОКАНАЛОВ ЧУВАШСКОЙ РЕСПУБЛИКИ С СОЦИАЛЬНЫМИ СЕТЯМИ

A. D. Gavrilov, L. A. Vasilyeva
2016 Izvestiya of Saratov University New Series Series Philology Journalism  
The authors identify the features of such integration of the state and commercial broadcasters, analyze the contents of the most successful mass media of the region, evaluate the editorial boards' policies  ...  The Features of TV and Radio Channels' Integration with Social Networks in Chuvash Republic L. A. Vasilyeva, A. D.  ...  The authors identify the features of such integration of the state and commercial broadcasters, analyze the contents of the most successful mass media of the region, evaluate the editorial boards' policies  ... 
doi:10.18500/1817-7115-2016-16-4-464-468 fatcat:np3e73vsx5cbvbjws6qx5a7zyu

A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS

Arda Uran, Kerim Ture, Cosimo Aprile, Alix Trouillet, Florian Fallegger, Azita Emami, Stephanie P. Lacour, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher
2021 2021 IEEE Custom Integrated Circuits Conference (CICC)  
For classification, the most descriptive features vary between patients and channels.  ...  Therefore, the indices are tailored per patient and per channel using the feature importance obtained from training on raw data.  ... 
doi:10.1109/cicc51472.2021.9431458 fatcat:q62cdh2jijaotgaci3ymb5w56e

Decoding a bistable percept with integrated time–frequency representation of single-trial local field potential

Zhisong Wang, Nikos K Logothetis, Hualou Liang
2008 Journal of Neural Engineering  
The integrated-spectrogram based feature selection is much more robust and can achieve significantly better features than the instantaneous-spectrogram based feature selection.  ...  Our results demonstrate the excellent performance of the integrated-spectrogram based feature selection and suggest that the features in the gamma frequency band (30-100 Hz) of LFP within specific temporal  ...  of four features from the multi-channel integrated time-frequency representation of the nine channels.  ... 
doi:10.1088/1741-2560/5/4/008 pmid:18971518 fatcat:vzp5i3e6wvcpde3a7k3mprf6wa

Cross‐channel integration of advertising: does personal involvement matter?

Alex Wang
2009 Management Research News  
Purpose -This paper aims to examine the effect of cross-channel integration of an advertiser's television spot that invited viewers to play an online game and web site that featured the game on consumers  ...  Research limitations/implications -This study is limited, investigating only one brand, one product category, and two media that can feature advertising messages regarding cross-channel integration.  ...  A consumer's higher personal involvement with a particular television feature may indeed increase his or her interest in cross-channel integration.  ... 
doi:10.1108/01409170910980362 fatcat:zntqmtenyfbirisyekyq7jhlku

Integral P-channels for fast and robust region matching

Alain Pagani, Didier Stricker, Michael Felsberg
2009 2009 16th IEEE International Conference on Image Processing (ICIP)  
We introduce the concept of integral P-channels, which conciliates the concepts of P-channel and integral images.  ...  We present a new method for matching a region between an input and a query image, based on the P-channel representation of pixel-based image features such as grayscale and color information, local gradient  ...  For the integral P-channel method and the integral histogram method, we used color images, and the features are the pixel's hue, saturation and the local orientation of the gradient (computed on a grayscale  ... 
doi:10.1109/icip.2009.5414467 dblp:conf/icip/PaganiSF09 fatcat:rjvu635b5jh7baetljln3v42cm

Research and Design on Vehicle Pedestrian Detection in Natural Scene

Pei-ran ZHAO, Xue-wu ZHANG, Yu-bo XIE, Ling-li XU, Yan XIANG, Jin-bao SHENG
2018 DEStech Transactions on Computer Science and Engineering  
The algorithm extracts the gradient direction, gradient magnitude and LUV color channel of the image as upper layer feature, by using the fast operation speed of integral channel.  ...  We propose a two-layer pedestrian feature extraction algorithm based on multi features fusion in integral channel, which is gained by intelligent driving system in natural environment.  ...  Double Layer Feature Extraction Algorithm Integral Channel Features Integral channel features (ICF) was proposed by Dollar et al, which itself is not an independent new features, but the image of nonlinear  ... 
doi:10.12783/dtcse/cmee2017/20042 fatcat:dxi5ixajljdpfm563kgh6kfik4

Adaptive Learning Rate for Visual Tracking Using Correlation Filters

C.S. Asha, A.V. Narasimhadhan
2016 Procedia Computer Science  
This method uses integral channel features in correlation filter framework with adaptive learning rate to efficiently track the object.  ...  However the use of multiple channel features provide more information than single feature alone.  ...  Our contribution in this work is as follows. (1) Integral channel features are used, which includes color, integral gradient, integral histogram and gradient histogram features as feature channels.  ... 
doi:10.1016/j.procs.2016.06.023 fatcat:ce7mrmtvpzfbtokfhcxqdy3dp4
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