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.
This paper proposes an optimized pedestrian and vehicle detection method based on deep learning technique. We optimize the convolutional neural network architecture by three mainly methods. The first one is the choice of the learning policy. The second one is to simplify the convolutional neural network architecture. The last one is careful choice of training samples. With limited loss of accuracy,...
This paper proposes an adaptive cross-window stereo camera distance estimation technology which is a low complexity disparity algorithm and high efficient parallelized, which includes Adaptive Cross Window Distance Estimation (ACWDE) and disparity-based erosion. The proposed algorithm reduces the computation time by changing the aggregation window shape, which calculates color and texture of 13 pixels...
This paper presents a vision radar system (VRS) integrating Lane Departure Warning System (LDWS) and Forward Collision Warning System (FCWS) for car safety driving applications. A dynamic threshold, which improves the accuracy of lane and vehicle detection in various weather conditions, and multiple frame approval, which conquers the effect of some tough scenes, are proposed. The designed radar-map...
This paper proposes a low-complexity speed limit detection which can not only support different types of speed limit signs for multiple countries, but maintain good detection rate under inclement weathers. The proposed algorithm steps include shape detection to locate speed limit signs, adaptive threshold and digit recognition algorithm which can adapt to different digit fonts to support different...
This paper proposes an intelligence surveillance system in indoor environments, which support the functions of people detection, people tracking, and behavior analysis. Strong variation of lightness by switching lights and frequent crossing of people are two major design challenges of the proposed system, which will decrease the detection accuracy. Therefore, we propose a mechanism of updating background...
A swing variable voltage technique (CK-Vdd) is proposed to reduce power consume for generic digital circuit system. The proposed CK-Vdd generates a swing variable voltage, which is different from the conventional constant voltage (Vdd) to the digital circuit. The swing voltage is produced from using Voltage Frequency Adjustor (VFA) and Frequency Duty-Cycle Adjustor (FDCA) circuits. The clock rising...
This paper presents a vision-based landing system concept which could be implemented in a small UAV (Unmanned Aerial Vehicle). Vision-based object detection provides object position information of objects such as pedestrian or road, and those detection methods can also provide precise position during the landing stage of aircraft. Besides, the take off weight of a small UAV should be light in order...
AdaBoost classification with Haar-like features [1] is commonly adopted for object detection. Feature calculation in AdaBoost algorithm is the most time-consuming part, which occupies over 98% of the computation and cannot reach realtime processing with CPU computing only. In this paper we propose an object detection design for heterogeneous computing with OpenCL. By adopting the techniques of scale...
Minimally Invasive Surgery (MIS) is a current major surgery technique. A chief problem with MIS is its narrow field of vision. A wireless MIS Panoramic Endoscope (WMISPE) is developed and implemented to provide doctors with broad fields of view. A WMISPE features a combination of video overlapping and video stitching. The panoramic video apparatus has two side-by-side endoscopic lenses that provide...
This paper proposes a low-complexity design for 3D hand tracking, which can provide depth information and is able to work under critical backgrounds. This paper also proposes an effective way to segment hands out of entire image and also facilitates depth estimation of tracked hands in real-time by dualcamera systems. Multithreading and several techniques are applied to reduce computational complexity...
Voltage scaling is an efficient way to reduce dynamic power consumption for digital circuits. In this paper, a hierarchical multiple voltage (HMulti-Vdd) technology is proposed to design a power-aware H.264 intra-frame encoder for wireless panoramic endoscope applications. The proposed design adopts quad supply voltages to reduce power consumption without performance degradation. A progressive voltage...
This paper presents a single-camera HDR imaging algorithm, which is able to solve all the extreme conditions by controlling the exposure time to get a well-exposed image and then enhancing it. The proposed system is divided into two parts, i.e. single-image HDR imaging technique and an exposure control method. The single-image HDR imaging technique integrates two methods, i.e. Dynamic Local Contrast...
Micro lens captures less light than normal lens dose, which makes low quality noise image, and current image sensor cannot preserve whole dynamic range in real world. HDR image with multi-exposure image overcomes the problems mentioned above. Choosing good exposure time is a seldom-discussed but important issue in HDR imaging technology. In this paper we propose a Histogram Based Exposure Time Selection...
This paper presents a vision-based moving objects detection work which attracts much attention in intelligent automobile applications recently. Vision-based objects detection provides object behavior information of objects and is an intuitive detection method similar to human visual perception. Besides, vision-based objects detection methods are much low-cost compared with detection methods such as...
This paper presents a hardware architecture to detect moving objects based on Adaboost algorithm [1] with Haar-like feature for driving safety. According to the complex appearances of pedestrians and motorcyclists at closer distance, the proposed design supports 12-level scaling for detection window size with dynamic ROI allocation. The stride mode results in highly complex 12-level window size scaling...
This paper presents a vehicle collision avoidance method and it is associated with the exploitation of multiple features based on the AdaBoost classifier result. The proposed system will enhance the precision rate and accuracy of vehicle detection from 72% to 96% using an AdaBoost detection method extracting multiple features in vehicle detection and false alarms are reduced.
This paper presents a Dynamic Local Contrast Enhancement (DLCE) method, which can strengthen the image quality in most of inclement weather conditions. This improves unnatural image over-enhancement, reduce noise, make image more saturated, and can be applied on foggy day and night. DLCE reaches 50 fps D1 resolution and 120 fps CIF resolution on ATOM 1.6GHz in TREK-668 embedded platform.
In this paper, a low-complexity video stitching algorithm and its system prototype are proposed. With the novel design, users can obtain a high-resolution, high quality and seamless 360-degree panoramic video immediately by stitching the images with overlapped regions. Most of the present works are focused on image stitching instead of video stitching. In the proposed design, we develop some novel...
This paper proposes a low complexity multi-view video encoder which includes mode decision and early termination based on B-frame characteristics. According to the statistics of coding mode distribution in different B-frame types, we classify all the coding modes into several classes and propose an early terminated mode decision algorithm that can largely reduce the computing complexity. On the other...
The proposed low-cost, scalable, synthesizable Voltage-Frequency Adjustor (VFA) design provides voltage and frequency automatic adjustments for implementing low-power systems. This design is effective in reducing power consumption from managing the supplied current and clock frequency for the structurally dynamic varying systems. The VFA supplied electrical current amount and voltage level are automatically...
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.