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This work1 presents a real-time hybrid CPU-GPU implementation of a practical people counting system, developed for real-world airport scenarios and using the existing airport single cameras. The cameras are characterized by low quality images and are installed in arbitrary oblique viewing angles and heights relative to the ground plane. The scenes are characterized by large field of view, large scale...
The use of eye-tracking in energy-constrained applications requires systems capable of tracking human eyes without consuming large amount of power. In this paper we present a low-power implementation of real-time non-intrusive eye-tracking by single camera. Unlike existing hardware designs, our eye-tracker does not restrict the user nor requires computationally expensive tools for maintaining high...
There are two different people counting methods: (1) counting people across a detecting line in certain time duration and (2) estimating the total number of people in some region at certain time instance. This paper presents a new approach to count the number of people crossing a line of interest (LOI). First, the foreground object silhouettes are extracted described as blobs. Second, we generate...
This paper presents a real-time document image retrieval method for a large-scale database with Locally Likely Arrangement Hashing (LLAH). In general, when a database is scaled up, a large amount of memory is required and retrieval accuracy drops due to insufficient discrimination power of features. To solve these problems, we propose three improvements: memory reduction by sampling feature points,...
In this paper, we propose a confidence-based depth maps fusion approach for multi-view 3D reconstruction. We present a four-stage method to refine the fused depth map to get a higher accuracy. At first, we utilize the off-the-shelf Kinect device to acquire the raw multi-view depth maps quickly. To improve the accuracy, we compute the confidence values for the estimated depth maps in the second stage...
Auto-focusing is a key feature of modern camera systems that ensures a focused image is captured without the need for any user intervention. Passive auto-focusing is achieved based on a measure of sharpness or a sharpness function that is extracted from a series of images at different focal positions. With the rapid growth of stereo camera systems for 3D applications, this paper introduces a sharpness...
In this paper, we describe how information obtained from multiple views using a network of cameras can be effectively combined to yield a reliable and fast human action recognition system. We describe a score-based fusion technique for combining information from multiple cameras that can handle arbitrary orientation of the subject with respect to the cameras. Our fusion technique does not rely on...
This paper introduces a practical system by combining an Intelligent Fuzzy Controller and vision processing algorithm to obtain an efficient active tracker. Target tracking performance is heavily dependent on a good blend of vision algorithm and control. Because of performance and computational complexity, many visual tracking algorithms cannot be linked with control systems in the real-time tracking...
In this paper, we propose a fast and stable human detection based on “subtraction stereo” which can measure distance information of foreground regions. Scanning an input image by detection windows is controlled in their window sizes and number using the distance information obtained from subtraction stereo. This control can skip a large number of detection windows and leads to reduce the computational...
We investigated the use of optical flow to predict the time and location of impact of an incoming object. By examining local patterns of optical flow, we make predictions on an object's trajectory with respect to a stationary observer, and its time-to-contact with the observer's (assumed planar) body. Such a cue may serve as inputs to motor responses for reactive threat avoidance, or object interception...
Current markerless 3D registration methods usually utilize a single specified category of natural features. However, the richness of various natural features is ignored. They cannot meet users' diversified registration requirements. This article proposes an integration strategy of 3D registration methods based on multiple natural features. Utilizing feature detection and tracking and 3D registration...
This paper presents an automatic drowsy driver monitoring and accident prevention system that is based on monitoring the changes in the eye blink duration. Our proposed method detects visual changes in eye locations using the proposed horizontal symmetry feature of the eyes. Our new method detects eye blinks via a standard webcam in real-time at 110fps for a 320×240 resolution. Experimental results...
We propose a method for multi-object segmentation in a projection plane. Our algorithm requires a stereo camera system called Subtraction Stereo, which extracts foreground information with a fixed stereo camera. The main contribution of this paper is how the image sequences that include partial occlusion of the foreground objects can be accurately segmented using mean shift clustering in real-time...
This paper presents an efficient multiresolution video stabilization algorithm based on the Scale Invariant Feature Transform (SIFT) algorithm. The algorithm utilizes the Haar wavelet transformation of registered images, reducing the memory consumption while maintaining accuracy of the feature points, which we will quantitatively contrast in the paper.
The data of vehicle flow is very important to control and lead to traffic in intelligent transportation systems (ITS).We present a method for detecting vehicles in image sequences without prior knowledge about the position of the road. A single camera placed in a moving vehicle provides image data. The image seen from camera located beside or upon the road can be used for vehicle detection ,facility...
In this paper, we introduce a hand gesture recognition system to recognize real time gestures in Vietnamese sign language system. In our system, there are three modules: real time hand tracking, training gesture and gesture recognition using pseudo two dimension hidden Markov models (P2-DHMMs). In the hand tracking module, we introduce a new robust algorithm to obtain hand region, called Tower method,...
We propose a real-time retrieval method for document images in various languages. In this method, queries are images of documents captured by a web-camera. The document images corresponding to the queries are retrieved from the document image database in real time. Since we have already proposed a document image retrieval method for English documents, the proposed method is an extension for retrieval...
In the field of minimally invasive surgery one barrier in clinical practice is the limited field of view provided by endoscopic cameras. We propose an image mosaicking approach to extend the field of view for real-time visualization by stitching several video frames. The approach is based on feature tracking and a robust estimation of the image-to-image transformations. We compare its performance...
Colonoscopy is the preferred screening modality for prevention of colorectal cancer. Colonoscopy has contributed to a marked decline in the number of colorectal cancer related deaths. However, recent data suggest that there is a significant miss-rate for the detection of even large polyps and cancers. There was no automated measurement method to evaluate the quality of a colonoscopic procedure. To...
Moving objects detection is a basic task in video analysis and applications. Many algorithms have been proposed to detect moving objects under different situations in the past decades. In this paper, we propose a new method to detect moving objects in a non-stationary, complex background for an automatic traffic monitoring system. As a pre-treatment, the square neighborhood algorithm is adopted to...
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