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Occlusion in the monitoring video is a problem often encountered in the moving vehicles detection, tracking and identification. In practice, the moving vehicles that are needed to be tracked are often overlapped in the image. As a result, the mistakes in the targets segment and traffic parameters calculation are the problems much more difficult to solve. Generally, the moving target occlusion in video...
Video text provides precise and meaningful information about video content. Video text extraction is a crucial step to retrieve video text characters. Most of papers perform video text extraction in a whole text row. Compared with whole text row extraction, single character extraction can achieve higher accuracy because the background of single character is relatively simple. However, character segmentation...
We propose a depth assisted video object tracking algorithm that utilizes stereo vision technique to detect and handle various types of occlusions. The foreground objects are detected by using a depth and motion-based segmentation method. The occlusion detection error caused by inaccurate motion vectors is avoided by combining the depth segmentation results with the previous occlusion status of each...
Mosaic block is easily occurred in the TV signals, which will cause the degraded video. In this paper, we propose an automatic degraded video detection approach based on support vector machine and template matching to detecting mosaic block in video. We develop a detection algorithm based on a cascade of processing steps as follows. First, we use DWT to remove the vertical high frequency of a frame...
Automatic video object segmentation based on spatial-temporal information has been a research topic for many years. Existing approaches can achieve good results in some cases, such as where there is a simple background. However, in the case of cluttered backgrounds or low quality video input, automatic video object segmentation is still a problem without a general solution. A novel approach is introduced...
The detection and tracking of people is an important aspect in the video analysis and a popular topic in computer vision as well. This paper mainly discusses the detection and tracking of people in video sequences captured from a stationary camera. An effective people detection algorithm is proposed based on the bi-directional projection histogram of grayscale two-frame differencing image, proposing...
Camera-equipped mini-UAVs are popular for many applications, including search and surveillance, but video from them is commonly plagued with distracting jittery motions and disorienting rotations that make it difficult for human viewers to detect objects of interest and infer spatial relationships. For time-critical search situations there are also inherent tradeoffs between detection and search speed...
Lifelog is a set of continuously captured data records of our daily activities. The lifelog in this study includes several types of media data/information acquired from wearable multi sensors which capture video images, individual's body motions, biological information, location information, and so on. We propose an integrated technique to process the lifelog which is composed of both captured video...
In image analysis or vision understanding systems, the accuracy of segmentation results affects the quality of the systems seriously. The dynamic cast shadows and reflection images are ever-present fake objects in dynamic object segmentation, and they deteriorate the segmentation quality seriously. This paper presents a technique for cast shadow and reflection image suppressing of dynamic objects...
In this paper, we present a novel approach which employs the temporal redundancy of video texts to improve the performance of text segmentation and stroke extraction from complex background. We first demonstrate how to obtain the required aligned text image sequences from video frames via a robust corners-set matching scheme. Then the changing background pixels can be identified and removed by exploiting...
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