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The development of moving object detection systems has become of great interest in the video surveillance field. Although many foreground detection methods have been proposed, the problems of incomplete object shapes and misclassified shadow regions remain. We propose a new approach by combining bit-planes representation with gray-level co-occurrence matrix (GLCM). This allows the system to exploit...
Mismatch removal is a key step in many computer vision problems. In this paper, we handle the mismatch removal problem by adopting shape interaction matrix (SIM). Given the homogeneous coordinates of the two corresponding point sets, we first compute the SIMs of the two point sets. Then, we detect the mismatches by picking out the most different entries between the two SIMs. Even under strong affine...
In video surveillance, moving object detection has become one of the core techniques to understand video content. Many detection methods exist to detect objects, but cannot effectively compensate for the effect of shadows or incomplete shapes of moving objects. In this paper, we apply image bit-planes and hysteresis thresholding to compensate for the loss of spatial and temporal information. The experimental...
A major cause of deaths among the elderly relates to accidental falls. Such falls are of particular medical concern to this population because they often result in severe injuries, since senior citizens usually live alone and cannot ask for help when accidents happen. In this paper, we propose a fall detection system with the help of a Gaussian mixture background model to build the background before...
In order to analyse the effects of different front shapes to sailing resistance acting on AUVs(autonomous underwater vehicles), four different front revolving shapes of AUVs are designed with the aid of 3D parametric design software Solidworks, empirical formula and computational fluid dynamics software CFX are used to analyse and calculate the sailing resistance of four schemes, and comparing the...
Automatic plant identification via computer vision techniques has been greatly important for a number of professionals, such as environmental protectors, land managers, and foresters. In this paper, we conduct a comparative study on leaf image recognition and propose a novel learning-based leaf image recognition technique via sparse representation (or sparse coding) for automatic plant identification...
This article looks at combining the Curvature Scale Space (CSS) shape matching algorithm and the Watershed Algorithm with the aim of creating a simple yet effective leaf identification software. The CSS shape matching algorithm solves the problems of: • Leaf self-intersection — Parts of a leaf overlap. • Leaf rotation — Images that are rotated. • Leaf variation — No two leaves are the same. The Watershed...
The quality of biometric samples plays an important role in biometric authentication systems because it has a direct impact on verification or identification performance. In this paper, we present a novel 3D face recognition system which performs quality assessment on input images prior to recognition. More specifically, a reject option is provided to allow the system operator to eliminate the incoming...
This paper presents an algorithm for obstacle classification and lane line identification using the laser range finder (LRF) sensors, which is used to warn the driver to watch the situation of environment when the obstacle appear in the front. The classification of detecting objects is essential to reduce the danger in traffic. Nevertheless, there may be a noise (or road surface) in far distance....
This paper addresses an old, yet challenging issue - curvature estimation from discrete sampling points over a curve. We introduce a novel algorithm based on performing line integrals. The proposed method is computationally more efficient than the previous integration-based methods because of the constant computation time. Qualitative tests on synthesized shapes in the presence of noise are performed,...
In this paper, a fully integrated monocycle pulse based impulse radio ultra-wideband (IR-UWB) transmitter designed and fabricated with SMIC 0.13-μm RF CMOS technology is reported for UWB application specified in China. The monocycle pulse is generated and binary phase modulated by all-digital pulse generator and modulator with low power consumption. A driver amplifier is followed to filter and further...
Reentry is the main form of arrhythmia. To know when and where the reentry starts in Long QT Syndromes (LQTS) and its relation with M cells distribution, the Luo-Rudy dynamic ionic model (LRdOO) of the mammalian ventricular action potential (AP) was used in a two dimensional transmural tissue sheets simulation. LQTS was simulated by reducing the membrane conductance of IKs for LQT1 and IKr for LQT2,...
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