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This paper proposed robust color constancy method for changing illuminant by using local chromaticity distribution and analysis of illuminant influence for each hue angle. First, changing in chromaticity distribution direction for each color with respect to various illuminant is analyzed using principal component analysis. Next, change in standard deviation of chromaticity distribution with respect...
A method used for estimating the distance between objects in photographic images is the depth from focus (DFF) method. The method has reportedly been implemented many times using only image-side telecentric optical systems because a change in image magnification becomes a problem due to differences in focus positions. Therefore, there have been no examples of this method having been implemented using...
Crowd behaviour analysis is a challenging task in computer vision, mainly due to the high complexity of the interactions between groups and individuals. This task is particularly crucial given the magnitude of manual monitoring required for effective crowd management. Within this context, a key challenge is to conceive a highly generic, fine and context-independent characterisation of crowd behaviours...
The last years have seen a quick rise of digital photography. Plenoptic cameras provide extended capabilities with respect to previous models. Multi-focus cameras enlarge the depth-of-field of the pictures using different focal lengths in the lens composing the array, but questions still arise on how to select and use these lenses. In this work a further insight on the lens selection was made, and...
This paper presents the results of the depth estimation challenge for dense light fields, which took place at the second workshop on Light Fields for Computer Vision (LF4CV) in conjunction with CVPR 2017. The challenge consisted of submission to a recent benchmark [7], which allows a thorough performance analysis. While individual results are readily available on the benchmark web page http://www...
Automatic and accurate human upper-body detection and orientation estimation have great practical value in several computer vision applications. Most previous works on human upper-body orientation estimation assume that the human upper-body region is already detected and aligned. However, this is not the case in many real-world scenarios. Additional human detector is essential which is usually much...
Vehicular mobility scenarios are utilized to study vehicular networks and transportation systems. However, the generation of vehicular simulation scenarios at scale poses several research challenges. Large-scale vehicular datasets (in geographic coverage and time span) are not easily or publicly available, which hinders the generation of data-driven scenarios. In this paper, we introduce a systematic...
In this paper, we present an improved motion estimation method by adding extra information for binocular visual odometry (VO) which is especially suited for improving high-speed pose change estimation. The extra information is obtained by structured object detecting, taking lane line detection as an example. We can get an accurate position information by calculating the interval of each dotted lane...
This paper proposes an adaptive cross-window stereo camera distance estimation technology which is a low complexity disparity algorithm and high efficient parallelized, which includes Adaptive Cross Window Distance Estimation (ACWDE) and disparity-based erosion. The proposed algorithm reduces the computation time by changing the aggregation window shape, which calculates color and texture of 13 pixels...
Distortions, such as perspective distortion and partial occlusion, causes objects in different locations in the image of a scene appear to have different sizes. We present a new camera calibration method for estimating the dimension of objects, particularly people, in several locations in the image of a scene. Segmentation methods such as background subtraction combined with frame differencing is...
Moving item recommendation is now and again a champ among the most key and basic procedures in PC perspective programs. In this paper, a novel organization model is suggested to get rid of illustrating closer see things from files that may contain different sorts of disturbing impact, for instance, light changes, camera parameter varieties, bustles and component back-grounds, etc. For each appearance,...
Pinhole-array-based hand-held light field cameras can be used to capture 4-dimensional light field data for different applications such as digital refocusing and depth estimation. Our previous experiences suggest the design of the pinhole array mask is very critical to the performance of the camera, and the selection of mask parameters could be very different between applications. In this paper, we...
In this paper, we propose a position estimation method utilizing image recognition for an automatic traveling wheelchair. The proposed method includes image magnification to extend the recognition distance and image recognition to estimate the position by utilizing a relationship in which the size of the object in an image is inversely proportional to the distance between the camera and the object...
Conventional depth estimation methods for light field cameras often fail to estimate sharp object boundaries. We propose a depth estimation method using a wavelet-based matching cost calculation and an estimation optimization, which can estimate sharp object boundaries. Our method first calculates matching costs on four subband images derived with a wavelet transform, and then combines the costs based...
In an image fusion, misalignment errors are generated in the boundaries between objects and background. To solve this problem, this paper presents an image fusion method using the optimal mask that contains main objects. The proposed method consists of three steps: i) pre-processing and global warping to register a tele-view image to a wide-view image, ii) generating seam-based optimal mask to detect...
Haze is mainly occurred by atmospheric phenomena. Recently, many researchers in haze removal algorithm area are using single image. At the single image, we can't use depth information. To estimate the thickness of haze without depth information is not easy. As a result, single image haze removal method includes halo effect. In this paper, we propose halo effect suppression for single image haze removal...
In video surveillance to count the number of people walking through a corridor or door people counting is used. Counting persons passing through supervised area is important issue of this domain. System of people counting is important for security application (such as in the situation of an evacuation, it is vital to know how many people are present inside the surveillance area at any given time),...
This paper describes the use of two dimensional (2-D) laser scanner for locating badminton shuttlecock in real playing environment. It proposes a method to predict the end point of shuttlecock trajectory. The system is designed using two 2-D laser scanners to locate shuttlecock in midst of air in its trajectory. It helps to calculate shuttlecock's speed, orientation and hence, to predict an end point...
Image filtering has long been an area of interest in computer vision applications. It may be used in applications where noise is prominent or when certain features need to be enhanced. While single-image filtering techniques are well-established in literature, the introduction of additional information can further improve the quality of filtering. Guided filtering allows for the use of additional...
In this study, we estimate gaze direction using the relationship between the face and eyes. The face and eyes are divided laterally and in lengthwise direction. We set up an object laterally and in lengthwise direction and measured the face angle using a Kinect sensor, which is range image sensor, when gazing at an object. The angle of the eyes is fixed at the angle of the object and grasp of the...
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