Abstract. Applications for video data recorded with a setup of several cameras are currently attracting increasing interest. For such multi-view sequences, efficient coding is crucial to handle the enormous amount of data. However, significant luminance and chrominance variations between the different views, which often originate from imperfect camera calibration, are able to reduce the coding ...

The selection of “proper similarity measure” of color histograms is an essential consideration for the success of many methods. The Histogram Quadratic Distance Measure (HQDM) is a metric distance. Till today, this method is supposed to be the better choice, But it holds a disadvantage that it can compute the cross similarity between all elements of histograms. Therefore, computationally it is ...

This paper considers the detection of spatial domain least significant bit (LSB) matching steganography in gray images. Natural images hold some inherent properties, such as histogram, dependence between neighboring pixels, and dependence among pixels that are not adjacent to each other. These properties are likely to be disturbed by LSB matching. Firstly, histogram will become smoother after L...

In this paper, we propose a method of estimating camera parameters for annotating 3D virtual objects with a wearable vision system. The proposed method tracks natural feature points using a doubled color histogram matching and template matching. The model-view matrix calculation method consists of three algorithms for PnP problems and uses each algorithm selectively. The experimental system usi...

In this paper, we improve an object detection approach using spatial histogram features, by applying classifier ensemble. The spatial histogram features can preserve texture and shape information of an object, simultaneously. We train a hierarchical classifier by combining cascade histogram matching and the combination of Multi Layer Perceptrons. The cascade histogram matching is trained via au...

In this paper we present a disjoint camera track matching algorithm based on a “cumulative colour histogram transformation”, the “major colour” histograms matching and the post-matching integration algorithms. In order to reduce the “effects of variable illuminations” in disjoint camera environment, a cumulative colour histogram transformation is applied to located moving object image first. Th...