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Optical flow is one of the tools for video content analysis (VCA). The optical flow involves a gradient coprocessor as preprocessing to estimate partial derivative. The gradient processor consists of kernels (masks) to convolute each pixel of image sequences. In hardware implementation of the gradient into FPGA, a multiply accumulate (MAC) is an important technique that is useful for reducing the...
For intelligent video monitor system, how to detect the moving target accurately is a key problem needed to be solved. The problem is more serious when background is complex. This paper uses a method based on code book to segment the foreground and background to detect the moving targets under complex background. This method uses the threshold of the color distortion of and brightness distortion....
This paper proposes a new error concealment method in which an improved bidirectional motion copy method is developed to conceal entire frames lost in video transmission. Also an overlapped block motion compensation technique is employed to reduce blocking artifacts in the concealed frames. The simulation results show that the proposed method can achieve a PSNR of 2.21dB higher than the conventional...
According to the features of the changing color of fire flames, the periodically increasing of area and the irregular changing in the shape of fire when the early fire breaks, we take fire flame as a kind of special moving object and make a research of it. The color characteristics in fire video images as well as the morphological changes are discussed in this paper, a comprehensive analysis of all...
An algorithm was proposed to remove the moving shadow in video surveillance. This method gets the moving objects from motion detection in first, in which removal shadow on invariable features of colors and local texture, then gets rid of the change suddenly pixels in edge of shadow. Experiments show that having a strong ability to adapt to different scenes, the algorithm retains the integrity of the...
In this paper, A picture is digitalized and the white noise is eliminated which appears in a motion picture of a videotape. The conventional method was developed for the purpose of repairing the blotch noise, focusing on the nature of violent video appear on the video noise, along with improvements to allow a better detection, that is, luminance threshold determination Used to improve interpolation...
In this paper, we proposed an approach of multi-person movement tracking in office environment without any identity conflicts. Simple image processing with frame differentiation method is applied to identify multiple human motion. An Expert System is applied to predict next camera occurrence of the tracking human. The main objective of this work is to detect and track multi-human motion using single...
Background Modeling is the normal method on the moving objects detection, it plays a key role in the moving objects detection and tracking, the Gaussian mixture model is one of the most successful methods on the detection. But it converges slowly in the complex scene. This paper proposes a new method named “additive increase” and the “additive decrease” to adjust the weight of the matched distributions...
This paper presents a novel and robust approach to detect and follow a human with a mobile robotic platform. In order to follow a human, both the initial detection of human and the subsequent tracking need to be implemented. As the robot is initially static, initial human detection is done using a background subtraction technique. To remove the outliers objects, filters are formulated based on the...
This work describes a method for accurately tracking persons in indoor surveillance video stream obtained from a static camera with difficult scene properties including illumination changes and solves the major occlusion problem. First, moving objects are precisely extracted by determining its motion, for further processing. The scene illumination changes are averaged to obtain the accurate moving...
We introduce a general technique for blending imagery from multiple projectors on a tracked, moving, non-planar object. Our technique continuously computes visibility of pixels over the surfaces of the object and dynamically computes the per-pixel weights for each projector. This approach supports smooth transitions between areas of the object illuminated by different number of projectors, down to...
Background subtraction is a process of separating moving foreground objects from the non-moving background. This technique must adapt to the illumination, motion and the geometry background changes such as shadow, reflections, and etc. In this paper, one of the traditional background subtraction techniques which is frame differencing (FD) is conducted to detect the moving object in outdoor environment...
This Paper presents a method of mosaicking a series of unidirectional 2-D motional images independent of type of motion in Single Plane i.e. planar or circular in nature, assuming a unidirectional displacement is occurring with each frame. The resultant image after mosaicking can be a color image even though major computation is done on gray scale images and thus making the mosaicking faster and output...
Segmentation of moving objects in an image sequence is one of the most fundamental and crucial steps in visual surveillance applications. This paper proposes a novel and efficient method for detecting moving objects in a noisy background by using a growing self organizing map to construct the codebook. The segmentation process distinguishes between those parts of the objects which move on static and...
Background subtraction is a technique for detecting moving objects in video frames. A simple BS process involves building a model of the background and extracting regions of the foreground (moving objects) with the assumptions that the camera remains stationary and there exist no movements in the background. Video object extraction is a critical task in multimedia analysis and editing. Normally, the...
Motion estimation, also known as optic flow, refers to the process of determining a 2D displacement field that aligns two images. Most methods that estimate motion or deformation fields in biological image sequences rely on sparse, distinct features (landmarks). Going a step forward, we are interested in methods to compute dense deformation fields (for all pixels). In this paper we compare two of...
An expression can be approximated by a sequence of temporal segments called neutral, onset, offset and apex. However, it is not easy to accurately detect such temporal segments only based on facial features. Some researchers try to temporally segment expression phases with the help of body gesture analysis. The problem of this approach is that the expression temporal phases from face and gesture channels...
Background subtraction is a common method for detecting moving objects, but it is yet a difficult problem to distinguish moving objects from backgrounds when these backgrounds change significantly. Hence, we propose a method for detecting moving objects with a background model that covers dynamic changes in backgrounds utilizing a spatio-temporal texture named “Space-Time Patch”, which describes motion...
High quality motion-adaptive de-interlacing calls for high quality spatial interpolation that can generate smooth object edges without jaggy effects. In this paper, we present a hierarchical edge-directed interpolation, where the edge detection not only covers very wide range of angles but also provides high resolution edge vectors. In addition, the hierarchical architecture makes it highly efficient...
In order to remove camera shake from a single photograph, we present a new deconvolution approach based on multi-layer statistics priors. Our approach is based on the three observations: the estimation of image gradients distribution can affect the deblurring quality; homogeneity region of the blurred image can serve to reduce ringing artifacts; regions with different homogeneities are with different...
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