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To enable autonomous driving, a computing stack must simultaneously ensure high performance, consume minimal power, and have low thermal dissipation—all at an acceptable cost. An architecture that matches workload to computing units and implements task time-sharing can meet these requirements.
The travel time estimation is one of traffic management system which provide time taken from one point to another point. Travel time estimation system consists of an embedded platform with image sensor for detecting and tracking the vehicle. Due to limited resources of embedded board, it makes challenging to measure the travel time especially for fast moving vehicle. Capturing system required a high...
A FPGA-based embedded system development platform with dual-camera support, named MorFPGA Duo, is presented in this paper. The MorFPGA Duo platform adopts the modular design concept and is capable of a dual core employing the ARM Cortex A9, two channel SDI cameras with Full-HD resolution, versatile built-in peripherals and high expandability to satisfy users' eager needs for state-of-the-art research...
A dual-core FPGA-based embedded system development platform named MorFPGA Duo is presented in this paper. The MorFPGA Duo platform adopts the modular design concept and is capable of a dual core employing the ARM Cortex A9, two channel SDI cameras with Full-HD resolution, versatile built-in peripherals and high expandability to satisfy users' eager needs for state-of-the-art research topics. This...
ARM embedded system can achieve a higher degree of integration, it has the advantages of small volume and low power consumption, which has gradually become one of the important products of information industry. In this paper, we introduce the overall design scheme of ARM and software. We provide an efficient solution to meet the request of even text materials when using camera. To turn on the camera...
We present an efficient open-source implementation of a novel video alignment algorithm, based on low dimensionality frame matching and the recently introduced ECC image registration algorithm.
Google Cloud Vision is an image recognition technology that allows us to remotely process the content of an image and to retrieve its main features. By using specialized REST API, called Google Cloud Vision API, developers exploit such a technology within their own applications. Currently, this tool is in limited preview and its services are accessible for trusted tester users only. From a developer's...
As a benefactor of the proliferation of large scale integration, traditionally simple and unintelligent devices such as cameras have been transformed into key components of rich and engaging smart environments. By integrating machine perception algorithms, these cognitive cameras have the ability to perceive and understand their environments. A principal barrier to realizing the potential of cognitive...
Distributed smart cameras exploit smartphone processor performance in their node communication and video metadata exchange, allowing the network to collectively reason in interpreting the scene, generating alerts, and making decisions.
We present a hardware architecture for real-time digital video stabilization in high-performance embedded systems. The stabilization algorithm analyzes the current and past video frames and obtains a motion estimation vector, which is then filtered to isolate unwanted camera movements from intentional panning. The vector is then used to correct the output video frame. We designed a hardware architecture...
Camera networks that reconfigure while performing multiple tasks have unique requirements, such as concurrent task allocation with limited resources, the sharing of data among fields of view across the network, and coordination among heterogeneous devices.
Compressive sensing lets researchers reconstruct high-resolution data from fewer samples, which could alleviate the data deluge in large-scale and multimodal camera networks. The Web extra at http://youtu.be/oVwdIr836WI is a video demonstrating how compressive sensing lets researchers reconstruct high-resolution data from fewer samples, which could alleviate the data deluge in large-scale multimodal...
Integrating personal camera-equipped mobile devices in traditional camera networks could enable a new class of mobile vision applications, but although integration is becoming technically feasible, consumer buy-in could be a thorny problem.
A taxonomy of wireless visual sensor networks for surveillance offers design goals that try to balance energy efficiency and application performance requirements. SWEETcam, a wireless smart camera network platform, tries to address the challenges raised by achieving adequate energy-performance tradeoffs.
Despite current obstacles, smart camera networks that offload computationally intensive tasks to remote servers could allow energy-efficient 3D and multiview video encoding and delivery yet still ensure high-quality multiple-device video streaming.
Markerless technology is a game changer for motion-capture applications, such as the monitoring of patients outside the hospital, realistic face-to-face communication across continents, and observation across large spaces.
Aim at the demand for the image acquisition of the portable infrared camera, we design an embedded image acquisition system using ARM and TVP5150 decoder. The system designed in this paper is based on the processor of S3C6410 and the Windows CE 6.0 operating system and the driver is designed for the hardware platform. After the design, the application can realize the image acquisition very well. Through...
Currently embedded system design is more an art than a science, lacking adequate support for sound top-down design, significant co-design, and effective integration of nonfunctional properties such as cost, reliability, security, and safety into the design process. We describe a top-down design process which employs constraint graphs to address these issues. We demonstrate the effectiveness of this...
In this paper, we propose a framework of hierarchical feature distribution for object matching in a network of visual sensors. In our approach, we hierarchically distribute the information in such a way that each individual node maintains only a small amount of information about the objects seen by the network. Nevertheless, this amount is sufficient to efficiently route queries through the network...
An integrated smart camera is a single chip composed of a sensor tightly coupled with one or more processing elements. The image processing applications that are mapped on such systems can require processing power in the range of supercomputer. To face the increasing application needs we propose in this paper a SIMD based processor optimized for the low and intermediate level of image processing....
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