关节炎
发表于 2025-3-25 05:00:23
https://doi.org/10.1057/9780230253124of computing fabrics suitable for embedded computer vision: FPGAs, GPUs, video signal processors, and heterogeneous multiprocessor system-on-chip. We then look at approaches to the design of a platform for distributed services in a smart camera network.
adumbrate
发表于 2025-3-25 11:11:05
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Cosmopolitan
发表于 2025-3-25 15:14:38
https://doi.org/10.1057/9780230253124rovides the ability to track vehicle taillights . detect alert signals regardless of lighting conditions. The mobile vision system has been tested in actual traffic scenes and the obtained results demonstrate the performance and lightweight nature of the algorithm.
有花
发表于 2025-3-25 19:44:35
Autonomous Tracking of Vehicle Taillights and Alert Signal Detection by Embedded Smart Camerasrovides the ability to track vehicle taillights . detect alert signals regardless of lighting conditions. The mobile vision system has been tested in actual traffic scenes and the obtained results demonstrate the performance and lightweight nature of the algorithm.
thalamus
发表于 2025-3-25 22:19:53
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运动的我
发表于 2025-3-26 00:28:58
A Survey of Systems-on-Chip Solutions for Smart Camerasnits and digital processing cores into a single chip has become reality, which is an increasing trend in different application domains, especially for distributed smart camera products. In this chapter, a survey of existing System-on-Chip solutions for distributed smart cameras able to capture and i
stroke
发表于 2025-3-26 04:50:04
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漫不经心
发表于 2025-3-26 10:40:55
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改革运动
发表于 2025-3-26 16:28:04
Distributed Mobile Computer Vision: Advances, Challenges and Applicationson that is also accessible to a PC. The recent advances in the field of micro technology have also made possible to include a camera sensor in any mobile device. This innovation is now attracting both the research community and the industries that aim to develop mobile applications that exploit rece
Obloquy
发表于 2025-3-26 19:58:44
Autonomous Tracking of Vehicle Taillights and Alert Signal Detection by Embedded Smart Camerase detection of alert signals (turns and brakes). In this chapter, we present the design and implementation of a robust and computationally lightweight algorithm for a real-time vision system, capable of detecting and tracking vehicle taillights, recognizing common alert signals using a vehicle-mount