Detection of Moving Objects in Image Sequences using 3D Velocity Filters

Schauland, Sam; Velten, Jorg; Kummert, Anton

doi:10.2478/v10006-008-0002-2

Cited by 11 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given these two gates, a circuit implementation of n-qubit QFT is shown in Figure 1 [34,35,37]. The basis states that enumerate all possible states of the n qubits are…”

Section: The Circuit Implementation Of Qftmentioning

confidence: 99%

“…The tracking and isolation of moving objects with a specific range of speed are a challenging research topic in the field of automotive application [28][29][30][31]. To cope with this issue, velocity filters have been used in the past for localizing and monitoring moving objects in image sequences or otherwise 3D imagery [32][33][34]. Filter banks are used for fast implementation of the localization and monitoring of moving vehicles.…”

Section: Introductionmentioning

confidence: 99%

“…Filter banks are used for fast implementation of the localization and monitoring of moving vehicles. These banks are built using 3D FFT to perform directional filtering [28][29][30][31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Velocity Filtering Using Quantum 3D FFT

Κούκιου

Anastassopoulos

2023

Photonics

View full text Add to dashboard Cite

In this work, the quantum version of 3D FFT is proposed for constructing velocity filters. Velocity filters are desirable when we need to separate moving objects with a specific velocity range in amplitude and direction in a rapidly changing background. These filters are useful in many application fields, such as for monitoring regions for security reasons or inspecting processes in experimental physics. A faster and more attractive way to implement this filtering procedure is through 3D FFT instead of using 3D FIR filters. Additionally, 3D FFT provides the capability to create banks of ready-made filters with various characteristics. Thus, 3D filtering is carried out in the frequency domain by rejecting appropriate frequency bands according to the spectral content of the trajectory of the object to be isolated. The 3D FFT procedure and the corresponding inverse one are required in the beginning and end of the filtering process. Although 3D FFT is computationally effective, it becomes time-consuming when we need to process large data cubes. The implementation of velocity filters by means of the quantum version of 3D FFT is investigated in this work. All necessary quantum circuits and quantum procedures needed are presented in detail. This proposed quantum structure results in velocity filtering with a short execution time. For this purpose, a review of the necessary quantum computational units is presented for the implementation of quantum 3D FFT and representative examples of applications of velocity filtering are provided.

show abstract

“…Given these two gates, a circuit implementation of n-qubit QFT is shown in Figure 1 [34,35,37]. The basis states that enumerate all possible states of the n qubits are…”

Section: The Circuit Implementation Of Qftmentioning

confidence: 99%