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People re-identification is a difficult problem in non-overlapping video surveillance, because pedestrian images contain variations in view angle, lighting, background clutter and occlusion. This paper presents an approach for person re-identification in surveillance system by taking pedestrian sequence (set) as processing element. The distance metric is learnt from relative and irrelative set-to-set...
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 crucial first step for signal processing decentralized sensor networks with node-specific interests is to agree upon a common unique labeling of all observed sources in the network. The knowledge “who observes what” is required, e.g. in node-specific audio or video signal enhancement to form node clusters of common interest. Recently proposed in-network distributed adaptive classification and labeling...
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...
This article reports the findings of a compressive infrared sensing approach for arm gesture acquisition and recognition. The spatial-temporal changing motion information are intrinsical clues for determining the semantics of gesture, which can be considered as a sparse spatial distribution compared with the sensing region. We first built a database of dynamic arm gestures with writing Arabic numerals...
This paper proposes a new approach of monocular ceiling vision based simultaneous localization and mapping (SLAM) by utilizing an improved Square Root Unscented Kalman Filter (SRUKF). With a monocular camera mounted on the top of a mobile robot and looking upward to the ceiling, the robot only needs to process salient features, which greatly reduce the computational complexity and have a high accuracy...
This paper focuses on a new approach for the calibration of IMU misalignment angles. Firstly the rigorous mathematic model of IMU misalignment describing the relationship among IMU output angles, misalignments and exterior orientation angular elements is discussed, then one-step and two-step these two fundamental calibration methods are introduced. According to the idea of two-step calibration a rigorous...
High altitude photographic work such as Aerial photogrammetry and UAV photography has very high demands on geometric optical parameters of the CCD camera, one millimeter or one pixel error of geometric optical parameters tends to cause a few meters or even dozens of meters error on the ground, so the camera's high-precision geometric optical parameters calibration is a crucial step for data geometry...
In summer of 2008, an outbreak of Enteromorpha Prolifra (EP), a kind of green algae, occurred in the Yellow Sea of china and posed a serious threat to the 29th Olympic Sailing Games. A color array camera was installed on the aircraft and used to monitoring the spatial distribution of EP. In this paper, we measured the spectral properties of EP and analyzed the R, G, B three band aerial remote sensing...
The paper introduces an absolute orientation detection method for spherical motor based on machine vision. The code generation algorithm, image processing algorithm, image matching algorithm and the method of deriving the orientation of the rotor using unit quaternion are presented. The color pattern painted on the surface of the rotor and camera model are simulated in OpenGL .With the machine vision...
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