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In the future robotic applications, robot requires the ability not only to recognize human actions but also to learn incrementally and quickly. Therefore, we proposed an incremental action learning system for this future requirement. The proposed system can continuously learn new actions quickly with robust performance and less effort.
Service computing is playing a more and more important role in current Internet activities, especially with the rapid adoption of electric markets, more and more individuals are engaging with commercial services. As the potential profit of service computing is becoming clear, malicious users are ramping up unfair rating attacks that can mislead honest service consumers into transacting with dishonest...
A novel and robust vision-based human-machine interface system to naturally interact with computers/smart devices is proposed. The key contribution is the introduction of a Compressive Sensing technique to largely reduce the dimensionality of highly discriminative feature descriptors (computed from depth imagery), which originally have an excessive and inoperative high dimension to be applied to a...
Detecting the text in natural scene images is often challenging due to the complexity and variety of text's appearance and its interaction with the scene context. In this paper, we present a novel hierarchical text detection method exploiting textual characteristics at both character and text line scales for improved accuracy. First, seed candidate characters are detected with discriminative deep...
5G wireless systems are envisioned to provide ultra-high data rates, increased robustness and low latency for new applications such as machine-to-machine (M2M) and car-to-car (C2C) communications. This paper considers high-speed visible light communication (VLC) as a candidate serving technology to fulfill this set of requirements. Synchronization as the first step towards reliable data detection...
This paper presents a low-offset comparator based on n-type amorphous indium gallium zinc oxide thin-film transistors (TFTs). An a-Si:H TFT model was adapted to fit the electrical characterization data obtained for these devices. The proposed comparator comprises three pre-amplification stages, a positive-feedback analog latch and a fully dynamic digital latch. Simulation results show that the proposed...
Hand posture recognition is an extremely active research topic in Computer Vision and Robotics, with many applications ranging from automatic sign language recognition to human-system interaction. Recently, a new descriptor for object representation based on the kernel method (KDES) has been proposed. While this descriptor has been shown to be efficient for hand posture representation, across-the-board...
This paper presents a novel visual analysis based framework for automated planogram compliance check in retail stores. Our framework provides an efficient and convenient solution for ensuring planogram compliance by real-time analysis of the shelf image acquired in freehand manner. We present a novel application of Hausdorff metric for occupancy computation in product shelf images. Subsequently, we...
In this paper, a voting based weighted online sequential extreme learning machine (VWOS-ELM) is proposed for class imbalance learning (CIL). VWOS-ELM is the first sequential classifier that can tackle the class imbalance problem in multi-class data streams. Utilizing WOS-ELM and the recently proposed voting based online sequential extreme learning machine (VOS-ELM) method, VWOS-ELM adapts better to...
Gaze movements play a crucial role in humancomputer interaction (HCI) applications. Recently, gaze tracking systems with a wide variety of applications have attracted much interest by the industry as well as the scientific community. The state-of-the-art gaze trackers are mostly non-intrusive and report high estimation accuracies. However, they require complex setups such as camera and geometric calibration...
The tracking of moving points in image sequences requires unique features that can be easily distinguished. However, traditional feature descriptors are of high dimension, leading to larger storage requirement and slower computation. In this paper, Principal Component Analysis (PCA) is applied to the 64-Dimension (D) Speeded Up Robust Features (SURF) descriptor to reduce the descriptor dimensionality...
This paper proposes a digital image watermarking method in homomorphic domain. In the proposed method, a homomorphic filter is applied to the host color image to extract a low variational illumination component. This component is used to embed a binary watermark image with the same size as host image. The watermark extraction is achieved by using an original illumination component prediction technique...
There has been an exponential growth in brain mapping studies in the past decade using functional MRI (fMRI). Apart from simple fMRI studies from a single site (scanner), multi-site studies are gaining great attention, as it has the potential to provide more data for brain mapping studies, thereby increasing the statistical power of the brain mapping studies. Major limitations with the multi-center...
This paper proposes a novel geometric verification method to handle 3D viewpoint changes under cluttered scenes for robust object recognition. Since previous voting-based verification approaches, which enable recognition in cluttered scenes, are based on 2D affine transformation, verification accuracy is significantly degraded when viewpoint changes occur for 3D objects that abound in real-world scenes...
Pedestrian detection is paramount for advanced driver assistance systems (ADAS) and autonomous driving. As a key technology in computer vision, it also finds many other applications, such as security and surveillance etc. Generally, pedestrian detection is conducted for images in visible spectrum, which are not suitable for night time detection. Infrared (IR) or thermal imaging is often adopted for...
Automatic classification of tropical wood species is becoming more important especially for timber exporting countries due to the considerable economic challenge as a result of fraudulent labelling of timber species at the custom checkpoints. Hence, a reliable automated wood species recognition system is needed to inspect the wood species labelling at the checkpoints. A tropical wood species classification...
Vehicle pose estimation with respect to the road plays a critical role in the advances of autonomous vehicle navigation and guidance. Vision-based road lane line detection provides a feasible and low cost solution as the vehicle pose can be derived from the detection. While good progress has been made, the lane line detection has remained an open one, given challenging road appearances. In this paper,...
An energy-efficient speech extraction (SE) processor is proposed for the robust speech recognition in the head-mounted display (HMD) systems. Speech extraction is essential for robust speech recognition in noisy environment. For the low-latency speech extraction, FastSE is proposed to overcome 50x larger complex cICA-based selection process which results in <2ms SE latency. Moreover, a reinforced-FastSE...
The WRSC (World Robotic Sailing Championship) / IRSC (International Robotic Sailing Conference) is an international and annual competition and conference that aims at stimulating the development of autonomous marine robotics and its applications. The competition, originally designed for sailboats, is also opened to motorboats as a separate category since 2013. In this paper, we will present the competition...
People like listening music primarily due to the emotion it evokes. Any activity or work that a person performs also generates emotions. Considering the above two statements it can assume that people tend to associate music with certain activity if it induces emotions that are in sync with it. In today's world of infinite storage, the number of songs that a user has is ever increasing. With the increased...
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