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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
The proliferate unstructured data generated in online social networks leads to significant research advances in the recognition of user profiles (e.g., age, gender, ethnicity, etc.), but meanwhile brings new challenges. These attributes are referred to as soft biometrics and provide a semantic description of users. Identifying users' soft biometric traits in online social networks is crucial for a...
For most physical stores, procuring customer behavior data and client management is di cult yet crucial. For stores, especially luxury stores, who value returning customers the most, identifying customer's identity and past purchase history would significantly improve the sales by personalizing the recommendation. Many chain stores utilize membership card to collect purchase information and change...
Energy saving in buildings has attracted many researchers attention. One of the research topics is occupancy detection for each room to automatically control airconditioner, light, heating, etc. by monitoring the temperature, humidity, light, and co2 using the corresponding sensors. For existing data analysis, traditional regression methods such as CART, RF, LDA are often used to predict the occupancy...
Many of the archival sports broadcast videos do not have the luxury of rich metainfo of the sports (e.g. player statistics, informative player profile, supplementary field info, and etc.) available for enhancing the viewing experiences to the level what we see on TV now. To tackle this shortcoming, in this paper we propose an automatic annotation system for sports video, by using an assembly of computer...
In this paper, we propose a phase field variational model with arctangent regularization for saliency detection. The classical Cahn-Hilliard model is used to extract features in complex image domain with highly anisotropic interfacial energy. Various visual attention features can be detected by minimizing the energy functional. The processing of saliency detection can be seen as a dynamical competition...
In this paper, we propose a modified variable exponent p-Laplace energy functional for image interpolation. This model enhances the strength of isotropic diffusion at homogeneous areas and retains the anisotropic diffusion at image edges, which diminishes the width of edges of interpolated image thereby obtaining crisp image contours. The two parameters control the strength of isotropic and anisotropic...
This paper proposes a measurement system for grasping postures using a fish eye camera. We attached a fish eye camera to the cap ofa cylindrical object, such as a jar or a bottle. The fish eye camera was used to determine the position ofthe fingertips in 3D via image processing. The grasping posture utilized when opening or closing ajar or a bottle was then reconstructed. If an object, a model of...
Human's gaze direction is a useful cue to understand his/her attention and interest. There are many kinds of eye tracking devices, but they are usually unavailable for people observed in surveillance views because they are located too far to observe their eyeballs. If we could know the gaze direction from such surveillance views, it should be very effective for many applications. Our research objective...
We present a method for vision-based speaker identification in a group conversation. The group context in the conversation is modeled by the integrated face direction of group members. Experimental results show that integrated face direction of group members is effective for speaker identification in a group.
Detecting actions or verbs in still images is a challenging problem for a variety of reasons such as the absence of temporal information and polysemy of verbs which lead to difficulty in generating large verb datasets. In this paper, we propose to first detect the prominent objects in the image and then infer the relevant actions or verbs using Natural Language Processing (NLP)-based techniques. The...
Human behavior analysis based on surveillance camera is one of hot topics in security, marketing as well as computer vision and pattern recognition, and these are useful for commercial facilities such as convenience stores or book stores. In general, since surveillance camera is placed on the ceiling near store wall to monitor customer behaviors, the majority of this research utilize human model adapted...
It is difficult to measure rotational eye movement constantly from "almost black eyeball image" acquired under the condition that the brightness of an image content being watched by a user is very low or the condition that almost no light is irradiated from its surrounding environment. To solve this problem, the authors developed a new method for measuring rotational eye movement at high...
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