The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifiers,...
A new algorithm for subpixel target detection in hyperspectral imagery is proposed which uses the PFCM-FLICM-PCE algorithm to model and estimate the parameters of the image background. This method uses the piece-wise convex mixing model with spatial-spectral constraints, and uses possibilistic and fuzzy clustering techniques to find the piece-wise convex regions and robustly estimate the parameters...
In this study, the problem of target detection in the presence of interference using a uniform linear array is considered. The proposed iterative detector is derived based on the generalized likelihood ratio tests (GLRT) principle, assuming that the direction, the complex amplitude and the power of the interfering sources and the received noise variance are all unknown. In the proposed GLR-based detector,...
Heavy sea clutter seriously depresses the detection of distributed target. In this paper, an adaptive PM waveform design method with evaluation factor is proposed to suppress clutter energy and improve the detection performance. Simulations illustrate the effectiveness of this method.
We consider the problem of detecting targets behind walls using radar imaging technology. An image-domain based detection technique is proposed that allows to adapt to specific targets of interest. By doing so, clutter as well as targets of no-interest are strongly reduced in the radar image. The proposed detector is automatic in the sense that no or only little prior knowledge on the image statistics...
In 2002, Kim et al described a fast and robust technique for the automatic detection of ellipses from a binary edge image. The current paper introduces some modifications to this algorithm which retain its speed, while increasing its detection performance. The two algorithms are then compared for the application of detecting wheels within images using a data-set of 100 images of cars.
Electrostatic detection devices can detect humans by measuring changes in an electrostatic field to indicate the precise location and direction of the subject entity. To analyse the principle of the electrostatic detection system, the mechanisms for generating the human beings' bioelectrical phenomenon are analysed. The human being is regarded as a point charge and constitutes a system with the obstacle...
Cast shadows add additional difficulties on detecting objects because they locally modify image intensity and color. Shadows may appear or disappear in an image when the object, the camera, or both are free to move through a scene. This work evaluates the performance of an object detection method based on boosted HOG paired with three different image representations in outdoor video sequences. We...
Automatic detection of sub-pixel materials presents a challenging problem in hyperspectral signal processing. While a number of different approaches have been proposed in the literature, few of these can be considered fully self-contained. In most cases, research has focused on only one area of sub-pixel detection such as endmember extraction, parameter estimation or detector architecture. This paper...
Two simple methods are described for fusing the outputs of hyperspectral rare target detection algorithms to achieve more consistent results across a variety of images and objects of interest. The methods are demonstrated with atmospherically corrected (spectral reflectance) visible/near-infrared/shortwave-infrared and long-wavelength infrared hyperspectral imagery using five different detection algorithms...
This paper is concerned with a moving target detection using time reversal in dense multipath environments. We show that the Doppler shift in the time reversal re-transmission simplifies the detector design, yet still achieves the focusing effect. Thus, the Doppler diversity is utilized to achieve high target detectability by time reversal.
Based on the diversity between the information entropy of target echo and disturbance introduced by high resolution radar, a new detection algorithm for range spread target via Renyi's entropy is proposed for the first time in this paper. The proposed entropy detector's performance assessment and its comparison with two previously traditional detectors show that the entropy detector can achieve satisfactory...
In this paper, a new cell-averaging constant false alarm rate (CA-CFAR) detector based on minimum selected cell in sub-reference windows (SRW) is proposed. It takes the minimum cells in sub-reference sliding windows for rejecting some strong interferences or alleviating the clutter-edge effect surrounding the test cell, and then it uses the general cell-averaging technique to detect the target. Under...
In this paper we propose a real-time algorithm for detecting and tracking moving objects in a video sequence. Based on the on-line boosting framework, our algorithm is able to detect an object as a member of a class, e.g. pedestrian, then a specific model for each instance of the class can be built on-line allowing at the same time robust tracking and recognition of the particular instance as it leaves...
This paper describes and evaluates an algorithm for real-time people detection in video sequences based on the fusion of evidence provided by three simple independent people detectors. Experiments with real video sequences show that the proposed integration-based approach is effective, robust and fast by combining simple algorithms.
In this paper, we employ the recent on-line boosting framework to fuse heterogeneous features for object detection and tracking in a video surveillance application. Detection and tracking are treated as a classification problem by an ensemble of weak classifiers built on heterogeneous feature types and updated on-line. We extend the on-line boosting framework by proposing an algorithm that builds...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.