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Previous work has developed a visual tracking algorithm, based on sparsity, that represents a target as a superposition of templates from a gallery in a fashion that the coefficients are sparsely populated. When occlusions occur, sparsity is maintained by bringing additional trivial templates (identity bases) into that gallery. While reported desirable results in visual tracking applications, several...
This paper proposes three techniques to reduce the computational cost, both in terms of memory and CPU usage, of visual underwater trajectory-based SLAM. On the one hand, geometric constraints involving the camera Field of View (FOV) are used to decide when a new node has to be added to the trajectory estimate. On the other hand, the camera FOV geometry is also used to preselect the candidate images...
Key frame extraction from video is area of interest in many applications, like video analysis, video summary, semantic video indexing, video organization, and video compression. In this paper, we propose a framework for key frame extraction. The proposed framework consists of two steps: First, the size of input video shot is reduced by eliminating those frames of the shot which are not distinguishable...
Effectiveness in loop closing detection is crucial to increase accuracy in SLAM (Simultaneous Localization and Mapping) for mobile robots. The most representative approaches to visual loop closing detection are based on feature matching or BOW (Bag of Words), being slow and needing a lot of memory resources or a previously defined vocabulary, which complicates and delays the whole process. This paper...
In this paper, we propose a multimodal multimedia retrieval model based on probabilistic Latent Semantic analysis (pLSA) to achieve multimodal retrieval. Firstly, We employ pLSA, to respectively simulate the generative processes of texts and images in the same documents. Then we employ the multivariate linear regression method to analyze the correlation between representations of texts and images...
Orthogonal frequency division multiplexing (OFDM) is a leading technology in the field of broadband wireless communications. In OFDM systems, a high peak-to-average power ratio (PAPR) is a critical issue, which may cause a nonlinear distortion and reduce power efficiency. To reduce the PAPR, partial transmit sequences (PTS) technique can be applied to the transmit data. However, the phase factor sequence...
Most existing vision-based methods for gaze tracking need a tedious calibration process. In this process, subjects are required to fixate on a specific point or several specific points in space. However, it is hard to cooperate, especially for children and human infants. In this paper, a new calibration-free gaze tracking system and method is presented for automatic measurement of visual acuity in...
Recent advances in analysis of fMRI have established the existence of functional sub-networks in the human brain that are active during the performance of visual, motor, language, and other tasks. We describe two computational methods of delineating functional sub-networks that are active when an individual performs an approach-avoidance paradigm. The paradigm consisted of presentation of images of...
The poor rehabilitation success rate, including the cases of ineffective and detrimental adaptations, make stroke a leading cause of disability. Thus, it is essential to recognize the mechanisms driving healthy motor recovery to improve such rate. Stroke alters the Synergy Architecture (SA), the modular muscle control system. So SA analysis may constitute a powerful tool to design and assess rehabilitation...
Understanding how M1 neurons innervate flexible coordinated upper limb reaching and grasping is important for BMI systems that attempt to reproduce the same actions. In this paper, we presented a study for exploring M1 neuronal activities while a non-human primate subject was guided to finish different visual cued spatial reaching and grasping tasks. By applying various configurations of target objects...
Data hiding is a well-known technique which embeds the secret data into a digital media. Most of the existing schemes either have the low image quality, or provide the restricted embedding capacity. In this paper, a new data hiding scheme based on turtle shell is proposed to obtain better image quality and higher embedding capacity. In the proposed scheme, a secret digit is embedded into each cover...
A conventional k out of n visual cryptographic scheme ((k, n)-VCS) encodes one secret image P into n random-looking transparencies (called shares) such that any group of k or more transparencies reveals P to our eyes when they are superimposed, while that of less than k ones cannot. Given one secret image P and one cover image C, we study (k, n)-VCS with meaningful shares in this paper where shares...
Mobile robot companions are service robots that are mobile and designed to share our living space. For such robots, mobility is essential and their coexistence with humans adds new aspects to the mobility issue: the first one is to obtain appropriate motion and the second one is interaction through motion. We encapsulate these two aspects in the term Human-Robot Motion (HRM) with reference to Human-Robot...
ALV(average landmark vector) algorithm occupies an important position in the field of visual homing, it has many outstanding advantages such as simple model and less storage space, etc. ALV algorithm uses all the feature points within the whole image region as landmarks, which makes the calculation amount larger and at the same time is unable to ensure the correspondence of each landmark. Because...
The use of recommender systems to support users' search and selection of items in an information overloaded environment is widespread. Usually, precision and recall are utilized for evaluating a recommender system. However, an alternative measure should be considered, because a user's satisfaction is the most important factor to be considered when constructing a recommender system. Briefly, there...
A new hyper-spectral data set is at hand giving unique possibilities for investigating also multi-scale evidence fusion. In this contribution self-organizing maps are used for semi-supervised learning and visualization of the partially labeled data. The maps reveal that the seven classes given can be better distinguished using certain color and rotationally invariant texture features on the high-resolution...
Inspired by the human vision system, in this paper we propose a specifically organized kind of center-surround contrast features and show their suitability for pedestrian detection. These contrasts are computed from a novel combination of both local color and gradient statistics aggregated quickly for arbitrary sized square cells. We exploit our contrast features in a rich multi-scale and -direction...
Grandmother cell is a term in neuroscience to imitate the simplistic notion that the brain has a separate neuron to represent every familiar face, with important properties of sparseness and invariance. This paper proposes a linear regression based classification model for face recognition, which learn a mapping from the training feature vectors to the grandmother-cell-like codes, with one unit corresponding...
Scene acquisition using RGB and Near Infra-Red (NIR) filters generates useful visual information about scene contents. But it induces significant intensity and textural changes between RGB and NIR images of the same scene. It becomes a challenging problem to perform interest point based image matching under such intensity and textural changes. To cope with this problem, a novel method for the description...
In this work, we focus on the novel problem of analyzing individual user's behavioral patterns regarding images shared on social forums. In particular, we view diverse user activities on social multimedia services as an economy, where the first activity mode of sharing or posting is interpreted as supply, and another mode of activity such as commenting on images is interpreted as consumption. To characterize...
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