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Vision-based pedestrian detection for all day are crucial in Advance Driver Assistance Systems (ADAS), autonomous vehicles and video surveillance. Based on the fact that human body radiation falls around 9.3pm, thermal images have distinctive advantages in pedestrian detection at nighttime. With the recent success of CNNs in vision community, how to properly explore information in color and thermal...
In this paper, we proposed an image-based rendering method based on the block sparsity of epipolar plane image(EPI). This method considers the structural similarity and block sparseness features of scene signal described by EPI model, which makes it possible to estimate approximately original signal with less measured values, and reduces the complexity of signal sampling and processing. First, we...
In this work, we propose a new multi-color recognition method based on color constancy model, and present a realtime machine vision-based auto-sorting system corresponding to academic and industrial needs. The proposed color constancy computation method is computed by neighborhood contrast, and furthermore the relationship between the object color and the color constancy parameters is established...
This paper presents a novel strategy addressing visual SLAM with enhancement of data association method. Hyper graph theory and transformation was incorporated within cooperative visual SLAM. The research presented a synthetic approach to fulfill a cooperative data association and fusion strategy for multiple UAVs equipped with stereo vision cameras encountered with indistinct imaging, where conventional...
The prevalence of camera-equipped smartphones and optoelectronic displays opens up a novel framework for wireless communication-optical camera communication. With displays as transmitters and cameras as receivers, a reliable optical communication link is established. In practice, the frame synchronization between transmitters and receivers is an inevitable challenge confronted in this new communication...
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