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The detection and restoration of intensity flicker is a common artifact in the restoration of archived film. Considering the interrelation between the successive frames in the image sequences, a novel approach based on motion compensation is proposed. Three steps search algorithm is introduced to estimate motion vectors, which can detect motion regions more accurately. Besides, threshold method is...
A watermarking technique based on 2D-barcode and human visual system is proposed. A structured 2D-barcode, PDF417, is used as watermark . In order to reduce the inserting watermark data, the 2D-barcode is preprocessed before inserted through omitting border of barcode, heading and ending characters , reducing barcodepsilas modules and scrambling the watermark based on chaotic sequence. A mask of the...
We have proposed a complete system for text detection and localization in gray scale scene images. A boosting framework integrating feature and weak classifier selection based on computational complexity is proposed to construct efficient text detectors. The proposed scheme uses a small set of heterogeneous features which are spatially combined to build a large set of features. A neural network based...
In this paper we present a system of the off-line handwriting recognition. Our recognition system is based on temporal order restoration of the off-line trajectory. For this task we use a genetic algorithm (GA) to optimize the sequences of handwritten strokes. To benefit from dynamic informations we make a sampling operation by the consideration of trajectory curvatures. We proceed to calculate the...
Disability of visual text reading has a huge impact on the quality of life for visually disabled people.One of the most anticipated devices is a wearable camera capable of finding text regions in natural scenes and translating the text into another representation such as speech or braille.In order to develop such a device,text tracking in video sequences is required as well as text detection.The device...
Human activity recognition plays an essential role in e-health applications, such as automatic nursing home systems, human-machine interface, home care system, and smart home applications. Many of human activity recognition systems only used the posture of an image frame to classify an activity. But transitional relationships of postures embedded in the temporal sequence are important information...
Primates demonstrate an outstanding ability of gaining a continuous tracking of target in cluttered environments after target disappears in the scene for a long time while it is still a challenge for artificial visual system to do so. Research in psychology indicates that selective visual attention with two attention selection processes is crucial to visual tracking. This paper presents a novel visual...
This paper presents a robust image watermarking method in discrete cosine transform (DCT) domain based on chaotic sequences encryption. Exploiting some characteristics of human visual system (HVS) and DC(direct current) components having much larger perceptual capacity than any AC (alternating current)components, watermark is embedded into the DC components of the host image. First, we scramble the...
To recover an everywhere-in-focus image, the multi-scale analysis image fusion is a classical method. Within these multi-resolution decompositions, the salient feature components image sequences with the largest magnitude are selected at each pixel location and finally, the fused image can be recovered from the decomposed components image sequences. Under the LS-SVM framework, salient features underlying...
In a ubiquitous network society, information on mobile nodes such as pedestrians with cell phones in a target region is useful for network configuration, communication control, and so on. In this paper, we propose a novel method to estimate in real time the number of pedestrians in video sequences using a stationary camera. The proposed method extracts moving regions from video frame grabs using background...
Moving object detection in video sequences presents an important problem in computer vision. If a video sequence is generated by a stationary video camera, one usually attempts to build a statistical model of the background and an appropriate statistical test to classify pixels into foreground or background. This approach is efficient for many laboratory test sequences, but may render itself inadequate...
A new multiscale approach to motion based segmentation of objects in video sequences is presented. While image features extracted at multiple scales are commonly used within the pattern recognition community, they have seldom been employed for background modelling and subtraction. The paper describes a methodology for maintaining an explicit background model at multiple scales. Biological inspiration...
In this paper we present a supervised method of image segmentation based on the statistic approach expressed in an hybrid space constituted by the three relevant chromatic level deduced by histogram analysis approach, this technique may the possibility of adapting the treatments to the local context of image with a little priori knowledge. This method has been applied on colour images issued from...
Because the OFDM signal has higher Peak to Average Power Ratio (PAPR), the efficiency of Amplifier is badly influenced in Orthogonal Frequency Division Multiplexing (OFDM) system and caused signal distortion in-band. Therefore, reducing PAPR of OFDM signal is very important. The Partial Transmitted Sequences (PTS) method can effectively reduce PAPR of the OFDM signals, but the basic algorithm of PTS...
We present a jump-diffusion particle filter for tracking grouped and fragmented supra-threshold targets in visual data. The approach deals with multiple interacting targets in which single objects may yield multiple measurements (target fragmentation), and also for situations in which targets merge and move together. Data association, spatial grouping of features and spatial fragmentation are incorporated...
In recent years, information security requires randomly selected strong keys. Most of the proposed methods provide keys based on chaotic cryptographic algorithms. In this paper, an image encryption scheme based on a chaotic True Random Bit Generator (TRBG) is proposed. The chaotic generator is a nonlinear electronic circuit which produces double scroll chaotic attractors. The values of the circuit...
In this paper, a novel approach is proposed to estimate camera motion and segment moving objects from compressed video streams, aiming to detect semantic events in video clips. Simultaneously using the motion vectors and DC components of MPEG macroblocks (MB), the camera motion type and motion parameters of each frame are estimated with simplified models. Then the segmentation of moving objects is...
The paper proposes a novel method to detect fire and flame by processing the video data captured by an ordinary camera monitoring an open scene, which combined fire flicker and color clues to reach a final decision. First the image difference method and color analysis technique based on the HSI color model are applied to extract the fire-like moving region between two consecutive frames. Then the...
In extensive facilities such as port facilities, chemical plants, and power stations, it is important to detect a fire early and certainly. The purpose of this paper is to present a new smoke detection method in open areas, as smoke is considered as a significant signal of the fire. It is assumed that the camera monitoring the scene of the open area is stationary. Since smoke does not keep stationary...
This paper presented a new gait identification and authentication method based on Haar wavelet and Radon transform. This method consists of two stages, gait modeling and recognition. In the first stage, images extracted from video sequences are pre-processed into binary silhouette. In terms of gait cycle, they are divided into 4 states, in each of which the distinct images are selected. The horizontal...
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