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People counting systems have wide range of applications and it is a difficult task in image processing. Face detection techniques are widely used to count the presence of people in an image. In this paper we present a hybrid face detection method for people count by combining three efficient face detection methods - Normalized Pixel Difference (NPD) , haar classifier and haar classifier for profile...
A method to solve multi-target classification problems with unknown clutter parameters is proposed in this paper. The unknown parameter is estimated and synthesized at each observation, and probability of each hypothesis is updated. Subsequently, the optimal waveform for the next illumination is designed based on NP criteria, and the final decision is made based on the sequential probability ratio...
Detecting stair region and estimating the distance from a camera to stair in a stair image is the fundamental step in the implementation of autonomous stair climbing navigation, as well as alarm systems for vision impaired people. In this paper, a framework is proposed for detecting the stair region from stair image utilizing some natural properties of stair. One unique property of them is, every...
A comparative analysis of 3×3 pixel robust detector and Harris detector in terms of stability and performance detection in case of viewing conditions change caused by the collection and conversion of image cameras presented. The efficiency of detectors was evaluated in terms of the repeatability of feature detection on a different pair of images when the conditions of observation, camera parameters...
Public lighting is an important factor in ensuring safety in public areas. However, its costs to be covered by local municipality are heavy. Focus in this paper on the use of motion detection devices on the street. The aim is to help increase the sense of safety in an urban environment and at the same time to reduce the costs on urban lighting. According to the study, motion detection devices may...
In the recent years, human activity recognition is considered to be very important in video analysis researches due to the extensive requests from numerous users in different fields, such as public area surveillance, entertainment, human machine interaction and healthcare systems. In this work, we present a comparative study of two space-time interest points' detectors. These two detectors are evaluated...
Most photographer robots can only capture frontal-like faces, posing limitations on broader applications, especially when it is needed to capture non-frontal faces. We built a photographer robot with a multiview face detector embedded so that it can capture faces with a large range of poses. The core part of the multiview face detector is a state-of-the-art facial landmark model which can track facial...
Multi-view face detection is a challenging problem due to dramatic appearance changes under various pose, illumination and expression conditions. In this paper we consider the problem of multi-view face detection. In this paper detection, It propose to apply Deep Convolutional Neural Networks (DCNN) as the post filter, which is known to be able to extract effective features automatically during learning...
Feature extraction is widely used in many computer vision problems such as object detection, image retrieval, object and scene recognition, etc. Feature extraction based on local feature detectors and descriptors requires a good compromise between the detectors and the descriptors. This paper presents a set of tools which are BRISK, FAST, FREAK, HARRIS and SURF for multispectral face recognition which...
An existing deep learning architecture has been adapted to solve the detection problem in camera-based tracking for augmented reality (AR). A known target, in this case a planar object, is rendered under various viewing conditions including varying orientation, scale, illumination and sensor noise. The resulting corpus is used to train a convolutional neural network to match given patches in an incoming...
A novel flyback light emitting diode (LED) driver with adaptive switching frequency for smart lighting is proposed in this investigation. Switching loss and severe harmonic distortion of conventional flyback LED drivers when the LED is operating in high switching frequency and high voltage are resolved. The proposed flyback LED driver design auto-adjusts the switching frequency by detecting the conduction...
In this paper, an effective top-view people detection algorithm based on multiple subarea models is proposed for smart home system. Conventional single model based detector is difficult to achieve high performance in top-view people detection since there are too many possible individual poses in the top-view based image scene and it is impossible to cover all the poses with single model. Therefore,...
The paper presents an FPGA implementation of a lane detector able to work at different illumination condition. The proposed approach is based on an adapted Sobel edge detector with a dynamic threshold and Hough transform. Two CORDIC modes vector and rotation are used to implement HT. Moreover, exploiting edge phase information in CORDIC iteration provide an optimal way to increase precision without...
With the rapid advancement in mobile device technologies and connectivity, the use of mobile devices for visual object recognition is emerging as an application with great commercialization potentials. However, query images captured by mobile devices often suffer from various conditions such as illumination, scale, and viewpoint changes. To handle these, several detectors and descriptors have been...
Subject-object interaction in a museum exhibit requires capture of the rigid museum objects, gestures and tasks performed by visitors as well as the subject-object interactions. Our interactive system takes a real object belonging to the avatar of a Tlingit warrior. The chosen object is a Tlingit war helmet replica which had to be detected by a RGB camera without the help of fiducial markers and used...
By extending the basic idea of FAST it is possible to create a detector that can operate directly on a RGB color image and on it detect a higher number of features. The higher number of points and the simplification of the metric put us in the position to impose an additional condition on the keypoints. In order to do so we picked up a problem of FAST and defined a condition for similar points. This...
In this paper, we study some feature descriptors and detectors based on invariants type and use the most stable and robust keypoints for an efficient object detection. From many points of view local descriptors are relatively different, the way of their extraction and the type of the invariance, the goal of this paper is to examine existing feature detectors and apply the most appropriate and efficient...
This paper presents a comparative evaluation of classical feature point descriptors when they are used in the long-wave infrared spectral band. Robustness to changes in rotation, scaling, blur, and additive noise are evaluated using a state of the art framework. Statistical results using an outdoor image data set are presented together with a discussion about the differences with respect to the results...
IT was previously found that illumination with monochromatic infrared (IR) light with wavelengths close to the absorption edge of the CdZnTe exert significant positive influence on the spectrometric characteristics of quasi-hemispherical CdZnTe detectors at room temperature [1]. In this paper, results of IR stimulation on the spectrometric characteristics of planar detectors of size 10 mm × 10 mm...
A novel scheme to calculate feature descriptors with rotation invariance was proposed in this paper. Unlike traditional methods of computing feature orientations and descriptors using a single sampling pattern, we calculate the orientation of a feature point with one sampling pattern and generate its descriptor with another one. Based on this idea, we present a method to generate a rotation invariant...
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