SSIP

Self-driving cars have received a lot of attention in recent years and many stakeholders like Google, Uber, Tesla, and so forth have invested a lot in this area and developed their own autonomous driving car platforms. The challenge to make an ...

Pedestrian detection is an essential and significant research topic due to its diverse applications in the area of safety systems. The distinctiveness is detected by the following three steps. Firstly, images are represented by their respective co-...

This article proposes a new imaging system that combines one camera and four mirrors to achieve the function of a stereo camera. Stereo cameras are usually expensive, although stereo vision has its advantage over monocular vision due to its ability to ...

In recent years, emotion recognition encounters difficulties: accuracy and robustness. In order to improve performance of the emotion recognition system, here we present a novel multimode emotion recognition system, including visual and audio ...

In Radio Frequency Identification (RFID) systems, the reader identifies tags through communication over a shared wireless channel. When multiple tags transmit their IDs simultaneously, their signals collide, prolonging the identification delay. ...

This paper proposed a Synthetic Aperture Radar (SAR) target recognition method based on joint sparse representation of three complementary features. The Elliptical Fourier descriptors (EFDs) of the target outline and PCA features were extracted to ...

Imaging devices always cause noise. In videos, a noise reducer (NR) can be used; however, a conventional NR also decreases resolution and recursive NRs cause blur and trailing in motion areas. Previously, one of the authors proposed a non-recursive NR ...

We present a constrained attribute selection method that makes use of feature assessment based on the Fisher's separation criterion followed by variety reduction post-processing. The post-processing incorporates task-specific constrain into the feature ...

The filter has become an important device when people use for communication and deal with all kinds of signals. FPGA is very suitable for digital signal processing. And it is very good for designing digital filter by using FPGA. A FIR digital filter is ...

In human activity recognition system, detecting the human and estimating the pose of 2D or 3D human correctly is critical issue. In this paper, we propose a novel approach for 3D human pose estimation from RGB-D CCTV images based on a deep learning ...

Aedes aegypti mosquito species are an important vector of many viruses including dengue and Zika. Preventing or reducing the virus transmission depends entirely on controlling the mosquito vectors. To facilitate a vector control operation, a new image ...

Described for the first time by MacKenzie (1879), diabetic retinopathy (DR) and today is the most common cause of blindness among persons of working age in most countries of the world. Prevention of DR is the early detection of a violation of morphology ...

With the advent of deep learning based methods, facial recognition algorithms have become more effective and efficient. However, these algorithms have usually the disadvantage of requiring the use of dedicated hardware devices, such as graphical ...

A new efficient and fast context lossless image coding method is presented in the paper, named Multi-ctx. High performance is obtained due to the fact that predictors are chosen from a very large database. On the other hand, simple rules determining ...

Whenever there is photogrammetry or computer vision, image processing techniques take place; since both of sciences depend on extract information from an image. Moreover, it is essential to apply these image processing techniques to obtain the depth ...