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A Real-time Action Representation with Temporal Encoding and Deep Compression
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Deep neural networks have achieved remarkable success for video-based action recognition. However, most of existing approaches cannot be deployed in practice due to the high computational cost. To address this challenge, we propose a new real-time convolutional architecture, called Temporal...

Deep Learning Based Video System for Accurate and Real-Time Parking Measurement
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Parking spaces are costly to build, parking payments are difficult to enforce, and drivers waste an excessive amount of time searching for empty lots. Accurate quantification would inform developers and municipalities in space allocation and design, while real-time measurements would provide...

Efficient Object-oriented Semantic Mapping with Object Detector
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Incrementally building a 3D map in which object instances are semantically annotated has a wide range of applications, including scene understanding, human-robot interactions, and simultaneous localization and mapping (SLAM) extensions. Although researchers are developing efficient and accurate...

SCAN: Self-and-Collaborative Attention Network for Video Person Re-Identification
2019 Edition, Volume 28, October 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Video person re-identification has attracted much attention in recent years. It aims to match image sequences of pedestrians from different camera views. Previous approaches usually improve this task from three aspects, including: 1) selecting more discriminative frames; 2) generating more...

Online MoCap Data Coding with Bit Allocation, Rate Control, and Motion-Adaptive Post-Processing
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

With the advancements in methods for capturing 3D object motion, motion capture (MoCap) data are starting to be used beyond their traditional realm of animation and gaming in areas such as the arts, rehabilitation, automotive industry, remote interactions, and so on. As the amount of...

Recovering Signal Energy From the Cyclic Prefix in OFDM
2008 Edition, Volume 57, September 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In orthogonal frequency-division multiplexing (OFDM) systems, a cyclic prefix (CP) is often added at the transmitter and discarded at the receiver. When the length of the CP exceeds the delay spread of the channel, a portion of the CP can be used to recover additional signal energy....

A modified maximum likelihood method for SNR estimation in OFDM based systems
2014 Edition, January 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper, a modified Maximum Likelihood (ML) method is proposed to estimate the noise variance as well as the corresponding signal to noise ratio (SNR) in Orthogonal Frequency Division Multiplexing (OFDM) based receivers under Additive White Gaussian Noise (AWGN) as well as...

Probabilistic Graphical Models for Dynamic PET: A Novel Approach to Direct Parametric Map Estimation and Image Reconstruction
2020 Edition, Volume 39, January 1, 2020 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In the context of dynamic emission tomography, the conventional processing pipeline consists of independent image reconstruction of single-time frames, followed by the application of a suitable kinetic model to time-activity curves (TACs) at the voxel or region-of-interest level. Direct 4D...

Distributed processing in frames for sparse approximation
2008 Edition, March 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Beyond signal processing applications, frames are also powerful tools for modeling the sensing and information processing of many biological and man-made systems that exhibit inherent redundancy. In many cases, these systems are required to use distributed computational...

Track retrodiction for HFSWR
2015 Edition, June 1, 2015 - German Institute of Navigation (DGON)

In this paper, we explore the possibility of track retrodiction to improve the track performance. To make use of the extra multi-frame data, we borrow the Rauch-Tung-Striebel (RTS) algorithm for the track retrodiction purpose. Using a converted extended Kalman filter (CMEKF) as the baseline,...

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