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The article considers the task of object detection on the images in industrial process control systems. The task is solved in two stages: image segmentation and matching the images of the segments with the template values. A new method based on wavelet transform salient points detection is proposed for image segmentation. Salient point descriptors are used for image matching; the new method of descriptor...
This paper proposes a novel and effective method to match objects between multiple cameras, which is based on wavelet salient features consisting of color information and salient values at salient points. Learning templates are set up and updated based on salient features in one camera, and used to match objects in the other camera without any geometric constraints. Experiments show the effectiveness...
SIFT (scale invariant feature transform) is an important local invariant feature descriptor. Since its expensive computation, SURF (speeded-up robust features) is proposed. Both of them are designed mainly for gray images. However, color provides valuable information in object description and matching tasks. To overcome the drawback and to increase the descriptor's distinctiveness, this paper presents...
This paper presents an accurate and flexible method for robust recognition and tracking of multiple objects in video sequence. We calculate color moments and wavelet moments for each detected object. Based on the extracted moment features, the SVM achieves optimal object recognition performance. The object recognition rate is above 98.53%. Since the tracking accuracy of feature matching method could...
This paper proposed a parallel particle filter algorithm with the help of GPU (Graphic Processing Unit) in face tracking. Due to illumination and occlusion problems, face tracking usually does not work stably based on a single cue. Three different visual cues, color histogram, edge orientation histogram and wavelet feature, are integrated under the framework of particle filter to improve the tracking...
This paper presents a new approach to content-based image retrieval by using dynamic indexing and guided search in a hierarchical structure, and extending data mining and data warehousing techniques. The proposed algorithms include: a wavelet-based scheme for multiple image feature extraction, the extension of a conventional data warehouse and an image database to an image data warehouse for dynamic...
Nowadays, sign language is commonly used as a communication language for auditory handicapped people. In addition to voice and controller pads, hand gestures can also be an effective way of communication between humans and robots or even between auditory handicapped people and robots. To be an effective sign recognition system, it should be glove-free, fast, small database and accurate. In this project,...
In this paper, we present a user identification technique based on face recognition for secure human-machine interaction. User's face is matched with the faces memorized by the machine, and if a match is found with a reliable matching score, the machine gets ready to accept the commands. Gabor Wavelet Transform coefficients are used as features for matching, and they are computed on a dedicated LSI...
We propose a new effective shape descriptor, chord context, for shape description in content-based image retrieval. For a shape, the chord context describes a frequency distribution of chord lengths with different orientations. The histograms which represent the chord context are compacted and normalized into a feature matrix. Unlike other shape representation schemes, the proposed scheme is able...
In this paper we present wavelet based image indexing and retrieval system for color images. Highly de-correlated wavelet coefficient planes are used to acquire a search efficient feature space. In this work low level feature, dominant color of the several images is extracted and keys are generated. The image key represents the image content with respect to other images in the database. At the time...
Tattoos provide an important source of biometric information, particularly in gang-related criminal activity. The goal of this paper is the formation of an image analysis tool to match tattoos and to retrieve similar tattoos from a tattoo database. First, an existing content based image retrieval (CBIR) approach for tattoos is reviewed. Then, a new active contour CBIR approach is detailed. This method...
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