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A methodology for improving the robustness of target tracking algorithms for forward looking infrared (FLIR) imagery is presented. The designed technique exploits a motion prediction metric to identify the occurrence of false alarms and to control the activation of a template matching (TM) based phase. The proposed approach is particularly suited to high speed algorithms in which tracking is generally...
Moving objects and static background are independent in video scene. But due to the same environment and video cameras, moving objects and static background in video frames are relevant. So based on the correlation between the moving objects and static background, a reference image of moving objects is constructed. And this reference image is used in the algorithm of video moving objects detection...
An algorithm for estimating displacement of the moving target and background by shift theory of Fourier transform is presented. According to the relation between the change and the Fourier transform of image sequence, the method employs the displacement value of the moving target and background by the difference of Fourier phase spectrum. The algorithm estimates the movements from the whole field...
Aiming at the characteristic of infrared image whose background is complicate and noise is serious, this paper puts forward a fused detection algorithm based on energy accumulation and morphology. The energy accumulation can restrain the noise of Gauss distribution effectively. The morphological top-hat operator can remove background efficiently. Firstly, analyze the characteristics of small target,...
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique utilization of particle trajectories for modeling crowded scenes, in which we propose new and efficient representative trajectories for modeling arbitrarily complicated crowd flows. Second, chaotic dynamics are introduced...
For inter-frame motion characteristics of slowly moving small target, this paper is proposed a target detection algorithm based on relevant frames. This method use improved spatial high-pass filter for image pre-processing to improve signal to noise ratio of small targets; extract candidate target point by binary segmentation, and then conduct inter-frame correlation to binary image. Correlation is...
Identifying moving objects from a video sequence is a fundamental and critical task in many computer vision applications. We develop an efficient adaptive segmentation algorithm for color video surveillance sequence in real time with non-stationary background; background is modeled using partial correlation coefficient using pixel-level based approach. At runtime, segmentation is performed by checking...
In outsized multimedia databases video segmentation is a fundamental constituent necessary to assist proficient content based retrieval and browsing of visual information. This paper presents work towards an integrated framework for computerized video shot detection. In this framework a set of representative key frames are selected which helps in summarizing of the entire video content into an abstract...
In general, the centroid and block matching tracking algorithms have been used for target tracking systems such as IR seekers. However, the former may induce large tracking error in complex background due to low contrast between targets and background. Moreover, the latter can be suffers from variation of target size when the observer approach to a target. In this paper, we propose a simple and effective...
A video stabilization algorithm based on the line characteristic is proposed. The rotation and excursion parameters between two images will be measured with the Hough transform technology as well as phase correlation technology. In order to eliminate the influence to the global situation which was born by the partial movement, the method with the whole line characters is adopted to get the movement...
A programmable real-time system based on DSP and FPGA for the image object tracking is proposed. The high-performance fixed-point DSP TMS320DM643 as kernel processor is suitable for processing video signal. This paper presents in detail the work flow of the solution, the function and principle of components, such as preprocessing and OSD FPGA, the external memory interface, the transport and control...
Reducing spatial redundancies between different camera views is one of the major challenges in multi-view video coding (MVC). However, with drastic increase in time consumption of such process, a proper way to reduce high computational complexity is needed. We propose an object-based fast prediction mode decision method in order to reduce complexity and time consumption of the coding process. Since...
This paper presents multicore implementation of an adaptive correlation tracking technique to track aerial target. The principle novelty of the proposed algorithm is its adaptiveness to changes in target size, illumination and target occlusion, etc during tracking. Tracking window size is adjusted according to the target size and tracking window is displaced depending on the tracking error generated...
Robust and real-time object tracking of any objects is a challenging task. Particle filtering has been proven very successful for non-gaussian and non-linear estimation problems. This paper describes a new approach to improve the moving object tracking system with particle filter using shape similarity. The shape similarity between a template and estimated regions in the video sequences can be measured...
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