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Future of food innovation lies in the art and science of designing an interactive connected intelligent device that can detect how we feel and display the content suitable for individual consumers. We designed a smart dining table and chairs that can detect, sense, and analyze consumer's satisfaction, and interact with consumers. A team of furniture designer, software engineers, mechanical engineer,...
This paper describes the crowd image analysis challenge that forms part of the PETS 2009 workshop. The aim of this challenge is to use new or existing systems for i) crowd count and density estimation, ii) tracking of individual(s) within a crowd, and iii) detection of separate flows and specific crowd events, in a real-world environment. The dataset scenarios were filmed from multiple cameras and...
This paper presents the results of the crowd image analysis challenge of the Winter PETS 2009 workshop. The evaluation is carried out using a selection of the metrics developed in the video analysis and content extraction (VACE) program and the classification of events, activities, and relationships (CLEAR) consortium. The evaluation highlights the detection and tracking performance of the authors'...
As the number of older Americans increases and many decide to stay in their homes, the need for assistive technologies grows. One such technology is an intelligent system of surveillance cameras. While these systems can provide many services, we attempted to limit ourselves to the evaluation of systems that use cameras to track the locations of objects that may be lost or misplaced within a home....
Vessel dynamics video monitoring system is one of the most significant components in port safety and traffic management. This paper intends to discuss the key points in the design of the system: firstly, the data concerning vessel dynamics position are acquired via AIS; then intelligent video tracking system automatically drives intelligent spherical cameras to monitor vessels in port. Also system...
Freshman engineering design students were given the problem of seeking a kite-based lifting platform that incorporated a camera system for aerial imaging purposes. The unique nature of the assignment lies in its support of precision agriculture efforts on campus by reducing cost and difficulty of operation for an aerial imaging platform.
In this paper, a novel Euclidean position estimation technique using a single uncalibrated camera mounted on a moving platform is developed to asymptotically recover the three-dimensional (3D) Euclidean position of static object features. The position of the moving platform is assumed to be measurable, and a second object with known 3D Euclidean coordinates relative to the world frame is considered...
IIT Bombay (IITB) has been transmitting some of its courses as part of its distance education initiative, coordinated by the Centre for Distance Engineering Education Programme (CDEEP). These courses are regular courses taken by IITB students, transmitted live from the classroom, which have a studio like environment with projectors, cameras and mikes. CDEEP makes videos of these recorded lectures...
In this paper, a new method for detecting shot boundaries in video sequences using box-counting to extract texture feature and judging the shot boundaries by an improve method to get a dynamic threshold is proposed. Many techniques have been developed to detect the video shot boundaries. But automatic shot boundary detection is difficult. In particular, gradual transitions are generally more difficult...
In the paper, we propose a fall detection method based on head tracking within a smart home environment equipped with video cameras. A motion history image and code-book background subtraction are combined to determine whether large movement occurs within the scene. Based on the magnitude of the movement information, particle filters with different state models are used to track the head. The head...
In this paper, we propose a vision-based people counting system. The symmetry property of human torso is utilized for the detection of people. Using the symmetry property as feature, one can solve the incomplete extraction of human silhouette problem that is commonly encountered in the process of background subtraction. In addition, since the perspective projection effect may influence the orientation...
In this document, we study the problem of optimally placing a mixture of directional and omnidirectional cameras. In our solution, the workspace is represented by an occupancy grid map [1]. Then, using surface-projected workspace and camera perception models, we develop a binary integer programming algorithm. The results of the algorithm are applied successfully to a variety of simulated scenarios.
In this paper, we propose a method to estimate the fundamental matrix for hybrid cameras robustly. In our study a catadioptric omnidirectional camera and a perspective camera were used to obtain hybrid image pairs. For automatic feature point matching, we employed scale invariant feature transform (SIFT) and improved matching results with the proposed image preprocessing. We also performed matching...
Underwater is a complex structured environment because of inhomogeneous light absorption and light scattering by the environment. These factors make 3D reconstruction in underwater more challenging. In the literature, only calibrated cameras and predefined camera motions are allowed for 3D reconstruction. In this study, 3D representation of underwater scenes are reconstructed from uncalibrated video...
The aim of this paper is to examine the effect of camera motion in user generated video with respect to human visual attention. Having a more accurate human attention model is particularly useful in applications such as video summarization where the identification of visual importance is crucial to the quality of the results. Most models proposed thus far, have not considered camera motion as an independent...
With this enormous speed in generating and collecting images, there is an extreme need in extracting interesting and useful knowledge from image archives. In our previous works, we have proposed an image mining framework to extract knowledge from a sequence of images. The framework is composed of two main modules: image analysis and knowledge processing. In this paper, we successfully customized the...
In this paper, we propose Simple Frame Marker (SFM) which has a rectangular frame and encompasses a planar natural view such as characters, logos and images. In order to support recognition of characters as well as an image, Simple Frame Marker is constructed by square-type and rectangle-type markers. Therefore Simple Frame Marker first distinguishes its content by the marker type and applies a proper...
In this paper, we study how to exploit the context-awareness in augmented reality (AR) applications to take advantage of the context in both the high-level and low-level processing. We propose an AR system architecture that works with a context-awareness framework. In the system, both the preliminary and the final context is provided to the process that needs the context. We provide two scenarios...
Computing technology is radically changing the manner in which we work and communicate with computers. ubiquitous virtual reality (U-VR) has been researched in order to apply the concept of virtual reality and its technology into ubiquitous computing. In this paper, we analyze past research on ubiquitous virtual reality and find future research direction.
A novel blind compressed video stream steganalysis algorithm employing the inter-frame correlation (IFCS) is proposed. The steganalysis process is executed wholly in the compressed domain for the real time requirement. Statistical features of inter-frame correlation, AC coefficients and DC coefficients in DCT domain of compressed video are extracted out as the classifier features using an inter-frame...
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