Traffic monitoring and analysis via street footage by Chew, Darren Wen Cong

“…This project implements the use of computer vision and machine learning technologies such as object detection and object segmentation. This component has been developed and designed to handle multiple challenges such as nighttime images, poor lighting, various camera angles, blurring due to car speeds and imbalanced data set. …”
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People tracking in video by Siah, Wee Kiat.

“…Further research are done to the methods mentioned in the proposed paper, “Robust Real-Time Visual Tracking using Pixel-Wise Posteriors” [1] such as region based segmentation, level set method, and Lucas-Kanade method. …”
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Tour-into-picture with Kinect by Meng, Taing

“…Beyond that, we also introduced Tour-Into-the-Video, explored various mapping methods for non-perspective-projection images, and analyzed some automatic foreground and background segmentation algorithms. In conclusion, this project discussed all the possible combinations in computer graphic and computer vision to build on the existing TIP method. …”
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Intelligent transportation system based on image processing by Liu, Yizhe

“…Another objective of this project is to do the data analysis, to compare the performance of image processing methods in different environmental conditions. All the image segmentation methods and road traffic analysis algorithms have been realized by MATLAB functions. …”
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Deep learning for scene flow estimation on point clouds: a survey and prospective trends by Li, Zhiqi, Xiang, Nan, Chen, Honghua, Zhang, Jianjun, Yang, Xiaosong

“…Furthermore, this paper investigates various higher-level scene understanding tasks, including object tracking, motion segmentation, etc. and concludes with an overview of foreseeable research trends for scene flow estimation.…”
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Integrative imaging and electron cryo-tomography of viral transport mechanisms by Grange, M

“…I show that (i) in situ sub-volume averaging from single tomograms can guide and complement segmentation of biological features and (ii) that novel, transient processes can be imaged with high levels of detail. …”

Revolutionizing treatment for disorders of consciousness: a multidisciplinary review of advancements in deep brain stimulation by Yang, Y, Cao, T, He, S, Wang, L, He, Q, Fan, L, Huang, Y, Zhang, H, Wang, Y, Dang, Y, Wang, N, Chai, X, Wang, D, Jiang, Q, Li, X, Liu, C, Wang, S

“…During the evolution of DOC therapy, the segmentation of central nuclei, the recording of single-neurons, and the analysis of local field potentials have emerged as favorable technical factors that enhance the efficacy of DBS treatment. …”

Augmented Object Intelligence with XR-Objects by Dogan, Mustafa Doga, Gonzalez, Eric, Ahuja, Karan, Du, Ruofei, Cola?o, Andrea, Lee, Johnny, Gonzalez-Franco, Mar, Kim, David

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Video anomaly search in crowded scenes via spatio-temporal motion context by Cong, Yang, Yuan, Junsong, Tang, Yandong

“…To characterize the video, we first perform the spatiotemporal video segmentation and then propose a new regionbased descriptor called “Motion Context”, to describe both motion and appearance information of the spatio-temporal segment. …”
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Modeling and compressing 3-D facial expressions using geometry videos by Xia, Jiazhi, Quynh, Dao Thi Phuong, He, Ying, Chen, Xiaoming, Hoi, Steven C. H.

“…Our framework includes a set of algorithms to construct GVs, such as hole filling, geodesic-based face segmentation, expression-invariant parameterization (EIP), and GV compression. …”
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Multi-modal sensor fusion-based deep neural network for end-to-end autonomous driving with scene understanding by Huang, Zhiyu, Lv, Chen, Xing, Yang, Wu, Jingda

“…The designed end-to-end deep neural network takes as input the visual image and associated depth information in an early fusion level and outputs the pixel-wise semantic segmentation as scene understanding and vehicle control commands concurrently. …”
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A two-stage automatic color thresholding technique by Pootheri, Shamna, Ellam, Daniel, Grübl, Thomas, Liu, Yang

“…Accurately performing background suppression in PCA boards facilitates the inspection of digital images with small objects of interest, such as text or microcontrollers on a PCA board. The segmentation of skin cancer lesions will help doctors to automate skin cancer detection. …”
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Complex composite derivative and its application to edge detection by Pan, Xiang, Ye, Yongqiang, Wang, Jianhong, Gao, Xudong, He, Chun, Wang, Danwei, Jiang, Bin, Li, Lihua

“…Both objective and subjective comparisons with other edge detectors are carried out, including evaluations through the use of the benchmark Berkeley Segmentation Dataset (BSDS500). In contrast with the classical first-order derivative, the composite derivative is order-steerable; one can adjust the orders of fractional integration and derivative to tune magnitude characteristic and reach a compromise between sensitivity to noise and detection accuracy.…”
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Boundary detection in echocardiographic images by directional gradient vector flow by Krishnan, Shankar M., Cheng, Jierong, Foo, Say Wei

“…Snakes, or active contour models, have been widely used in image segmentation. In this paper, a new type of dynamic external force for snakes named directional gradient vector flow (DGVF) is proposed for the detection of left ventricular boundary from echocardiographic images. …”
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Relationship between irregularities of the nuclear envelope and mitochondria in HeLa cells observed with electron microscopy by Brito-Pacheco, Daniel, Karabağ, Cefa, Brito-Loeza, Carlos, Giannopoulos, Panos, Reyes-Aldasoro, Constantino Carlos

“…The invaginations were successfully segmented with one image processing algorithm. Metrics were extracted for both structures and correlations between the mitochondria and invaginations were explored for 25 segmented cells. …”
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Cognitive Systems and Signal Processing : 5th International Conference, ICCSIP 2020, Zhuhai, China, December 25-27, 2020, Revised Selected Papers / by ICCSIP (Conference) (5th : 2020 : Zhuhai, China), organiser 642897, Sun, Fuchun, 1964-, editor 600994, Liu, Huaping, 1976-, editor 600996, Fang, Bin, editor 642896

Multi-bounce Returns for Specular Surface Mapping from Consumer-grade Flash LiDAR by Lin, Tsung-Han

“…In addition to 3D reconstruction, we show multi-bounce returns help to enhance performances on applications such as segmentation and novel view synthesis. Our method can be combined with these state-of-the-art learned-based model, enhancing its robustness by discerning ambiguous scenarios. …”
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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2002 by Gollub, Randy L., Bird, Stephanie J., Brown, E. N. (Emery N.), Fischl, Bruce, Kanwisher, Nancy, Kennedy, David N. (David Nelson), 1962-, Manoach, Dara, Melcher, Jennifer R., Moore, Christopher, Wald, Lawrence, Dale, Anders, Schmitt, F. (Franz), 1953-, Greve, Doug, Hoge, Rick, Jovicich, Jorge, Mandeville, Joe, Rosen, Bruce Robert, Savage, Cary, Savoy, Robert, Sorensen, A. Gregory, Tuch, David Solomon, 1973-, Vanduffel, Wim, Vangel, Mark Geoffrey, Bush, George

“…Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. …”
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Arbitrary-shape object localization using adaptive image grids by Yuan, Junsong, Zhou, Chunluan

“…First, a test image is partitioned into n×n grids and the object is localized by finding a set of connected grids which maximize the classifier's response. Then, graph cut segmentation is used to improve the object boundary by utilizing local image context. …”
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Game of drones by Wei, LuoBin

“…Augmentation of data-points within gate position via gate segmentation for a more effective trajectory planning is also explored. …”
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