Correlation tracking based on wavelet domain information

Ipek, HL
Yilmaz, I
Yardimci, YC
Cetin, AE
Tracking moving objects in video can be carried out by correlating a template containing object pixels with pixels of the current frame. This approach may produce erroneous results under noise. We determine a set of significant pixels on the object by analyzing the wavelet transform of the template and correlate only these pixels with the current frame to determine the next position of the object. These significant pixels are easily trackable features of the image and increase the performance of the tracker.


Guenyel, Bertan; Alatan, Abdullah Aydın (2010-09-29)
A multi-resolution motion estimation scheme is proposed for tracking of the true 2D motion in video sequences for motion compensated image interpolation. The proposed algorithm utilizes frames with different resolutions and adaptive block dimensions for efficient representation of motion. Firstly, motion vectors for each block are assigned as a result of predictive search in each pass. Then, the outlier motion vectors are detected and corrected at the end of each pass. Simulation results with respect to dif...
3-D motion estimation of rigid objects for video coding applications using an improved iterative version of the E-matrix method
Alatan, Abdullah Aydın (1998-02-01)
As an alternative to current two-dimensional (2-D) motion models, a robust three-dimensional (3-D) motion estimation method is proposed to be utilized in object-based video coding applications, Since the popular E-matrix method is well known for its susceptibility to input errors, a performance indicator, which tests the validity of the estimated 3-D motion parameters both explicitly and implicitly, is defined. This indicator is utilized within the RANSAC method to obtain a robust set of 2-D motion correspo...
Visual object tracking using semi supervised convolutional filters
Sevindik, Emir Can; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2020-10-15)
Visual object tracking aims to find a single object position in a video frame, when a annotated bounding box is provided in the first frame. Correlation filters have always produced excellent results in terms of accuracy, while enjoying quite low computational complexity. The main property of correlation filter based trackers is to find a filter that can generate high values around the true target object location, whereas relatively low values for the locations away from the object. Recently, deep learn...
Object Segmentation in Multi-view Video via Color, Depth and Motion Cues
Cigla, Cevahir; Alatan, Abdullah Aydın (2009-01-01)
In the light of dense depth map estimation, motion estimation and object segmentation, the research on multi-view video (MVV) content has becoming increasingly popular due to its wide application areas in the near future. In this work, object segmentation problem is studied by additional cues due to depth and motion fields. Segmentation is achieved by modeling images as graphical models and performing popular Normalized Cuts method with some modifications. In the graphical models, each node is represented b...
Keyframe based bi directional 2 D mesh representation for video object tracking and manipulation
Eren, Pekin Erhan (1999-10-28)
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Citation Formats
H. Ipek, I. Yilmaz, Y. Yardimci, and A. Cetin, “Correlation tracking based on wavelet domain information,” 2003, vol. 5204, p. 97, Accessed: 00, 2020. [Online]. Available: