- audiowaterprot trying video watermarking
- Kernel_particle_filter_for_visual_tracking the Kernel Particle Filter (KPF)—is proposed for visual tracking in image sequences. The KPF invokes kernels to form a continuous estimate of the posterior density function. Particles are allocated based on the gradient information estimated from the kernel density estimate of the posterior. Results from simulations and experiments with real video data show the improved performance of the proposed algorithm when compared with that of the standard particle filter. The superior performance is evident in scenarios of small system noise or weak dynamic models where the standard particle filter usually fails
文件名称:Real-time-Stage-1-Sleep-Detection
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- 上传时间：2014-03-11
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主要介绍了脑电波的发展及其应用，通过对脑电波进行采集，对驾驶员疲劳程度进行检测。-Introduces the development and application of brain waves, brain waves through the acquisition, the driver fatigue detection.
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Real-time Stage 1 Sleep Detection.pdf
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