Titlebook: Embedded Computer Vision; Branislav Kisačanin,Shuvra S. Bhattacharyya,Sek Ch Book 2009 Springer-Verlag London 2009 Automotive Safety.Compu

inundate

Implementation Considerations for Automotive Vision Systems on a Fixed-Point DSP analyze trade-offs for algorithm implementation in fixed-point arithmetic. By using the techniques described in this chapter speed can be increased by a factor of up to 10 compared to floating-point emulation on fixed-point hardware.

FLOUR

Challenges in Video Analytics context of a processing pipeline. Application-specific challenges are described with potential solutions to those challenges. This chapter also lists some implementation considerations for embedded video analytics and concludes with future and emerging applications of video analytics.

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使迷惑

Haupthistokompatibilitätskomplexblems faced in this area and how they vary from other embedded design methodologies in light of key application characteristics in the embedded computer vision domain.We also provide discussion on emerging solutions to these various problems.

ear-canal

Allodynia

https://doi.org/10.1007/978-3-662-54801-1atching architecture enables a frame rate of up to 600 fps by calculating the data in a highly parallel and pipelined fashion. This way, a software solution optimized by using Intel’s Open Source Computer Vision Library running on an Intel Pentium 4 with 3 GHz clock frequency is outperformed by a factor of 400.

初学者

occurrence

Design Methodology for Embedded Computer Vision Systemsblems faced in this area and how they vary from other embedded design methodologies in light of key application characteristics in the embedded computer vision domain.We also provide discussion on emerging solutions to these various problems.