Browsing by Author "Badawy, Wael"
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Item Open Access A computational random access memory (RAM) architecture for real-time video motion tracking(2003) Sayed, Mohammed Sharaf Ismail; Badawy, WaelItem Open Access A high throughput cytometry algorithm for leukemia cells(2007) Choi, Jong Sook Iris; Badawy, WaelItem Open Access A novel adaptive mesh-based video codec for streaming over IP networks(2002) Cai, Linsong; Badawy, WaelItem Open Access A novel CMOS electric field imager for lab-on-a-chip and biomedical applications(2005) Ghallab, Yehya Hassan; Badawy, WaelItem Open Access A novel zoom invariant video object tracking algorithm (ZIVOTA)(2003) Wei, Yankun; Badawy, WaelAdvanced surveillance system should have the ability to track targets that have non-rigid shape and structure/size. A limitation in the field of real-time target tracking is the high computation load, so the tracking algorithms are difficult to be implemented on an ordinary personal computer without any special-purpose hardware component. This thesis presents a real-time zoom-invariant video object tracking algorithm (ZIVOTA). It can be used to track human or rigid-shaped object. ZIVOTA can provide information of object-of-interest while performing tracking, which enables automatic visual system control. It employs the same set of features to track both the position and size of a moving object through frames. Time-consuming processes like feature detection and affine basis set selection will be done only when it is necessary. Computational load is largely reduced. By using affine motion model, this technique is fundamentally zoom-invariant, it can deal with translation, rotation, and scaling of objects. Since the gaze point (representing the object location) and object boundary points (representing the object size) are virtual, ZIV OT A is able to handle partial occlusion.Item Open Access A real time identification and tracking algorithm for biological dielectrophoretic (DEP) levitation system(2002) Du, Shan; Badawy, WaelItem Open Access A robust video streaming platform over wireless networks(2003) Liu, Xiao; Badawy, WaelItem Open Access An integrated virtual socket hardware-accelerated co-design platform for MPEG-4(2006) Qiu, Yifeng; Badawy, WaelItem Open Access Analog circuit reuse based on design extraction(2006) Hammouda, Sherif Ahmed; Badawy, WaelItem Open Access Architectures for the finite ridgelet transform(2004) Rahman, Choudhury Ashiq; Badawy, WaelItem Open Access Automated high throughput cell count and cluster classification algorithm for biological samples(2007) Prasad, Brinda; Badawy, WaelItem Open Access cavlc coder design for h.264/MPEG-4 (AVC) mobile video applications(2008) Rahman, Choudhury Ashiq; Badawy, Wael; Jullien, GrahamItem Open Access Detecting environmental conditions in traffic video streams(2007) Cai, Jun; Badawy, WaelItem Open Access DWT and DCT parallel-pipelined architectures for real time applications(2003) Alam, Mehboob; Badawy, Wael; Jullien, GrahamItem Open Access Dynamic time warping (DTW) in small vocabulary word recognition(2007) Paul, Sheuli; Badawy, WaelItem Open Access Efficient variable block size selection for an h.264 video encoder(2007) Amer, Ihab Mostafa Amin; Badawy, Wael; Jullien, GrahamItem Open Access Fuzzy logic particle filter for high-performance targets tracking in track-while-scan radar(2006) Kamel, Hazem Zakareya Fahim; Badawy, WaelThe efficiency and accuracy of the particle filter and its extensions depend mainly on two key factors: the propagation function used to re-allocate the particles and the number of particles used to estimate the posterior distribution. Previous studies have failed to consider these two factors together. In this thesis, a new self adaptive fuzzy logic particle filter (FLPF) that uses fuzzy logic systems (FLS) is proposed. It estimates the angular turn rate, which is included as a state component, and tunes dynamically the number of particles used to estimate the posterior distribution. The estimated angular turn rate defines the propagation function used to re-allocate the particles. Also, the number of particles used to estimate the posterior distribution is measured using FLS based on the target's maneuverability. Thus, the FLPF can improve the efficiency and accuracy of the particle filter by estimating the two key factors simultaneously using a fuzzy-logic framework. Also in this thesis, a tracker fusion technique is proposed to reduce the computation load when the target is non-maneuvering by using the unscented Kalman filter (UKF) as it has less computational load compared to the particle filters. The UKF is known to be optimal and is employed for state estimation for linear and Gaussian systems. Data association is also considered in this thesis as it is a crucial element and one of the most important components of any track-while-scan (TWS) radar system. A merged probabilistic data association (MPDA) is proposed. It merges the probabilistic nearest-neighbor filter (PNNF) with the joint probabilistic data association (JPDA) approach. The MPDA cooperates with the UKF to track non-maneuvering targets; meanwhile the independent sample based joint probabilistic data association (ISBJPDA) approach cooperates with the FLPF to track maneuvering targets. Different scenarios are simulated to evaluate and analyze the performance of the FLPF algorithm, the MPDA approach, and the tracker fusion technique. The experimental results verify that the proposed MPDA outperforms other data association techniques when applied to dense clutter environments and higher noise levels. Also, the FLPF show better performance compared to the integrated multiple models (IMM) in tracking high-performance maneuvering targets.Item Open Access Implementation of mesh based real-time tracking of biological cells(2004) Prasad, Brinda; Kaler, Karan V. I. S.; Badawy, WaelItem Open Access Low-complexity algorithm and efficient processor-in-memory architecture for H.264 encoder(2008) Sayed, Mohammed Sharaf Ismail; Badawy, Wael; Jullien, GrahamItem Open Access A Prototyping Virtual Socket System-On-Platform Architecture with a Novel ACQPPS Motion Estimator for H.264 Video Encoding Applications(Hindawi Publishing Corporation, 2009-07-27) Qiu, Yifeng; Badawy, Wael