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Fast Density Estimation from Histograms in Shift Invariant Spaces
Sampling Theory in Signal and Image Processing, 2004Histograms are mostly used as data presentation. In many applications we are interested in a good approximation of the density function, which creates the histograms. Standard techniques like the kernel density estimation are applied for approximating the density function. The problem of these techniques is that the data which define the histogram need
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Robust mean shift tracking with improved background-weighted histogram
SPIE Proceedings, 2011Tracking objects in videos using mean shift technique has brought to public attention. In this paper, we developed an improved tracking algorithm based on the mean shift framework. To represent the object model more accurately, the motion direction of the object which was estimated by the local motion filters was employed to weight the histogram ...
Liangwei Jiang, Rui Huang, Nong Sang
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Reversible Data Hiding Using Histogram Shifting in Small Blocks
2010 IEEE International Conference on Communications, 2010This paper proposes a new approach based on the Histogram Shifting Algorithm (HSA) to reversible data hiding in bitmap image. The embedding is not carried out in the whole image but in small blocks in order to enhance the capacity. Firstly, the blocks are classified, and then, coding methods specific to each type of block are designed.
Bo Xiao, Lizhi Ying, Yongfeng Huang
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Reversible Data Hiding In Encrypted Images Using Histogram Shifting
2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET), 2018This paper proposes a secure reversible data hiding technique. The cover image is encrypted by the owner. Encryption is done using the AES algorithm. Data embedding takes place in the encrypted image which is not easily recognized by normal users. The receiver on the other side can decrypt the image and extract the image or vice versa.
S. Anagha +2 more
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Improved Weighted Histogram for Illumination Invariant Mean-shift Tracking
Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing, 2014Object tracking is a critical task in surveillance and activity analysis. One of the major issues in visual target tracking is variation in illumination. In this paper, we propose an improved weighted histogram approach for mean shift tracking to achieve illumination invariance.
Gargi Phadke, Rajbabu velmurugan
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Adaptive Scale Mean-Shift Tracking with Gradient Histogram
2019The mean-shift (MS) tracking is fast, is easy to implement, and performs well in many conditions especially for object with rotation and deformation. But the existing MS-like algorithms always have inferior performance for two reasons: the loss of pixel’s neighborhood information and lack of template update and scale estimation.
Changqing Xie +2 more
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Mean-Shift Tracking Algorithm with Improved Background-Weighted Histogram
2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications, 2014The Mean-Shift based visual object tracking has achieved success in the field of computer vision because of its speediness and efficiency. It compute the features of object template and candidate regions by adopting the weighted kernel based color histogram.
Hou Zhi-Qiang +4 more
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A Histogram shifting-based blind reversible data hiding method with a histogram peak estimator
2012 International Symposium on Communications and Information Technologies (ISCIT), 2012This paper proposes a simple but efficient method which is free from memorizing side information, for histogram shifting-based reversible data hiding (HS-RDH). To hide data into an image, a HS-RDH method modifies particular pixel values in the image, based on its tonal distribution, and the method not only extracts hidden data but also recovers the ...
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Histogram Shifting Based Reversible Data Hiding
International Journal of Engineering Trends and Technology, 2014Lincy Rachel Mathews, Arathy C. Haran V
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