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Object recognition based on local features computed at multiple locations is robust to occlusions, strong viewpoint changes and object deformations. These features should be repeatable, precise and distinctive. We present an operator for repeatable feature detection on depth images (relative to 3D models) as well as 2D intensity images. The proposed detector is based on estimating the curviness saliency...
The paper presents an optimization of the trigger based on the Discrete Cosine Transform (DCT) developed for the new Front-End Boards with Cyclone® V E FPGA to be operating in upgraded Pierre Auger surface detectors.
Head detection may be more demanding than face recognition and pedestrian detection in the scenarios where a face turns away or body parts are occluded in the view of a sensor, but locating people is needed. In this paper, we introduce an efficient head detection approach for single depth images at low computational expense. First, a novel head descriptor is developed and used to classify pixels as...
A novel technique of segmenting people for counting using adaptive thresholding has been proposed in this paper. The technique uses adaptive thresholding to detect and extract objects of interest and is based on the idea of counting people through a slit window. The technique works well for highly occluded crowded scenes in Masjid-e-Haram during Hajj and Umrah congregation. It is a very diverse problem...
The motion dynamics and geometric information are considered to be one of the most useful features for infrared (IR) targets recognition. Especially for the exo-atmospheric target, when a target undergoes micro-motion dynamics in the outer space, such as mechanical vibrations or rotations, it would induce amplitude modulations on signature of target projected area along the Line-of-Sight (LOS) of...
This work introduces a novel feature detection algorithm for the decoding of a binary encoded structured light pattern. To make the structure light pattern insensitive to surface color and texture, some geometrical shapes are used as the pattern elements. Grid-point between each two adjacent rhombic pattern element is defined as the feature points. Affected by the inner structure of pattern element,...
This paper presents a study related to a possible topology of a novelty detector to be applied in Power Systems applications. With the new scenario of Smart Grids a novelty detector should not be focused in the typical PQ disturbances but in any new deviation/variation that may happen in the signal. In this way, the traditional methodology of novelty detection, that is based on a training stage is...
Traffic sign recognition is an important topic in driver assistant system and intelligent autonomous vehicles. Traffic sign detection is a critical step, whose performance greatly affect the performance and computation cost of traffic sign recognition. In this paper, we propose a traffic sign detection method based on a scoring SVM model. First, traffic sign color and color gradient are extracted...
Researchers gave the vehicle and pedestrian detection lots of attention to alarm the drivers for improving the safety of transportation systems. However, bicycles are also the significant factor of the safety on road. In this paper, a bicycle detector for side-view image is proposed based on the observation that a bicycle consists of two wheels in the form of ellipse shapes and a frame in the form...
Regular-polygon detectors are used in many applications including, license plate recognition, driver assistance, microscopy, aerial imagery etc. Given the enormous number of methods available for detecting polygons from an image, many of these approaches are robust, but are unsuitable for real time systems. In this paper we propose a fast and efficient method for detecting and localizing the regular...
In this paper, we consider Generalized Gaussian (GG) distribution to model the additive noise source in underwater acoustic (UWA) communication. Since communication in oceanic medium is dominated by both prevailing and spontaneous noise sources, we model the resultant noise distribution as mixture of GG distribution. Owing to the complexity in optimal detector design with GG noise model, we apply...
Ion Mobility Spectrometers are important devices whenever gases need to be analyzed, e.g. in environmental monitoring, to ensure workplace safety, but also in military applications. Their advantages are a small device footprint, robustness, and ease of use combined with very high sensitivity (in the ppb range) and speed of response (in the range of ms). The main disadvantage, however, is a quite limited...
In order to fully test detector frameworks, it is important to have representative simulated clutter data readily available. While measured clutter data has often been fit to the Weibull distribution, generation of simulated complex multivariate Weibull data with prescribed covariance structure has been a challenging problem. As the multivariate Weibull distribution is admissible as a spherically...
We propose a two-stage detector that can not only detect and localize hands, but also provide fine-detailed information in the bounding box of hand in an efficient fashion. In the first stage, hand bounding box proposals are generated from a pixel-level hand probability map. Next, each hand proposal is evaluated by a Multi-task Convolutional Neural Network to filter out false positives and obtain...
This paper turns on blotches detection in archived video. Blotches could be considered as the most common artifacts in archived video. This type of artifacts is not temporally correlated, it can be considered as impulse noise in time. To detect blotches, the proposed approach is performed into two mains steps: blotch regions candidate extraction and classification of these regions as blotches or not...
Region of Interest (ROI) coding is a common method for data reduction in scenarios where bandwidth is crucial like in aerial video surveillance from Unmanned Aerial Vehicles (UAVs). In order to save bits, non-ROI areas are typically reduced in quality or not transmitted at all and thus, an accurate ROI classification is mandatory. Moving objects (MOs) are often considered as ROIs and consequently...
Digital pulse processing in radiation measurement application has found great advantage over traditional analog pulse processing. In this paper digital pulse processing for radiation energy measurement is discussed and implemented using Field Programmable Gate Array (FPGA) which includes shaping algorithm, trigger generation for radiation event, pile-up detection and rejection of pile-up events and...
We propose a weakly supervised method to arrange images of a given category based on the relative pose between the camera and the object in the scene. Relative poses are points on a sphere centered at the object in a given canonical pose, which we call object viewpoints. Our method builds a graph on this sphere by assigning images with similar viewpoint to the same node and by connecting nodes if...
We present a novel approach to recovering the qualitative 3-D part structure from a single 2-D image. We do not assume any knowledge of the objects contained in the scene, but rather assume that they are composed from a user-defined vocabulary of qualitative 3-D volumetric part categories input to the system. Given a set of 2-D part hypotheses recovered from an image, representing projections of the...
We propose a fast rectangle and triangle detection method applicable in the target recognition and pose estimation of spacecraft. The algorithm makes use of a new line segment detector based on orientation histogram and Bresenham's line drawing algorithm. The detected line segments are categorized into different groups according to their angles, by which we can quickly detect and locate rectangle...
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