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275
Rapid object detection using a boosted cascade of simple features
- ACCEPTED CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION 2001
, 2001
"... This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This work is distinguished by three key contributions. The first is the introduction of a new image representation called the " ..."
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Cited by 3283 (9 self)
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frames per second without resorting to image differencing or skin color detection.
A Semi-Automated Single Day Image Differencing Technique to Identify Animals in Aerial Imagery
, 2014
"... Our research presents a proof-of-concept that explores a new and innovative method to identify large animals in aerial imagery with single day image differencing. We acquired two aerial images of eight fenced pastures and conducted a principal component analysis of each image. We then subtracted the ..."
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Cited by 1 (0 self)
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Our research presents a proof-of-concept that explores a new and innovative method to identify large animals in aerial imagery with single day image differencing. We acquired two aerial images of eight fenced pastures and conducted a principal component analysis of each image. We then subtracted
Moving Target Classification and Tracking from Real-time Video
, 1998
"... This paper describes an end-to-end method for extracting moving targets from a real-time video stream, classifying them into predefined categories according to imagebased properties, and then robustly tracking them. Moving targets are detected using the pixel wise difference between consecutive imag ..."
Abstract
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Cited by 290 (6 self)
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image frames. A classification metric is applied these targets with a temporal consistency constraint to classify them into three categories: human, vehicle or background clutter. Once classified, targets are tracked by a combination of temporal differencing and template matching. The resulting system
Nonlinearities in Stereoscopic Phase-Differencing
"... Abstract—Exploiting the quasi-linear relationship between local phase and disparity, phase-differencing registration algorithms provide a fast, powerful means for disparity estimation. Unfortunately, these phase-differencing techniques suffer a significant impediment: phase nonlinearities. In region ..."
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Cited by 2 (1 self)
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Abstract—Exploiting the quasi-linear relationship between local phase and disparity, phase-differencing registration algorithms provide a fast, powerful means for disparity estimation. Unfortunately, these phase-differencing techniques suffer a significant impediment: phase nonlinearities
cryptar: Secure, Untrusting, Differencing Backup
"... We present an algorithm and its implementation to per-form secure incremental backups to untrusted servers. The algorithm avoids unencrypted data leaving the local host, but is nonetheless able to compute a set of differ-ences between the encrypted data on the remote server and the changed local les ..."
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les. The cryptar algorithm is derived from the rsync al-gorithm. It is conceptually similar to running rsync with the remote image encrypted. 1
An efficient and accurate method for mapping forest clearcuts in the Pacific Northwest using Landsat imagery. Photogrammetric Engineering and Remote Sensing 64:283–300
, 1998
"... Two variations of image differencing were compared. The first was based on unsupervised classification, repeated five times, using five sequential date-pairs of difference images between 1972 and 1993. Referred to as merged image differ-encing, this method required merging the results from five sepa ..."
Abstract
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Cited by 52 (9 self)
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Two variations of image differencing were compared. The first was based on unsupervised classification, repeated five times, using five sequential date-pairs of difference images between 1972 and 1993. Referred to as merged image differ-encing, this method required merging the results from five
Estimation of Curvature and Tangent Direction by Median Filtered Differencing
- In 8th International Conference on Image Analysis and Processing
, 1995
"... . We present a new method, median filtered differencing, for estimation of tangent direction and curvature of digitised curves. On three synthetic examples and two images we show the algorithm performs successfully on both straight and curved segments even in the neighbourhood of discontinuities. 1 ..."
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Cited by 13 (0 self)
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. We present a new method, median filtered differencing, for estimation of tangent direction and curvature of digitised curves. On three synthetic examples and two images we show the algorithm performs successfully on both straight and curved segments even in the neighbourhood of discontinuities. 1
Phase-differencing in Stereo Vision Solving the Localisation Problem
"... Complex Gabor filters with phases in quadrature are often used to model even- and odd-symmetric simple cells in the primary visual cortex. In stereo vision, the phase difference between the responses of the left and right views can be used to construct a disparity or depth map. Various constraints c ..."
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can be applied in order to construct smooth maps, but this leads to very imprecise depth transitions. In this theoretical paper we show, by using lines and edges as image primitives, the origin of the localisation problem. We also argue that disparity should be attributed to lines and edges, rather
RRED Indices: Reduced Reference Entropic 1 Differencing for Image Quality Assessment
"... We study the problem of automatic “reduced reference ” image quality assessment algorithms from the point of view of image information change. Such changes are measured between the reference image and natural image approximations of the distorted image. Algorithms that measure differences between th ..."
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We study the problem of automatic “reduced reference ” image quality assessment algorithms from the point of view of image information change. Such changes are measured between the reference image and natural image approximations of the distorted image. Algorithms that measure differences between
A Image Steganography Method with Five Pixel Pair Differencing and Modulus Function
"... In this paper, a new image steganography algorithm is proposed which provides better stego-image quality. For hiding the secret data, PVD approach is used. The hiding capacity depends on the difference in pixel values. If the pixels in the pair belong to smooth area, difference is less and if the pi ..."
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In this paper, a new image steganography algorithm is proposed which provides better stego-image quality. For hiding the secret data, PVD approach is used. The hiding capacity depends on the difference in pixel values. If the pixels in the pair belong to smooth area, difference is less
Results 1 - 10
of
275
