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Segmenting Multiple Objects with Overlapping Appearance and Uncertainty

M. Seise, S. J. McKenna, I. W. Ricketts, C. Wigderowitz
2006 Procedings of the British Machine Vision Conference 2006  
A probabilistic method is proposed for segmentation of multiple objects that overlap or are in close proximity to one another.  ...  A likelihood function is formulated that explicitly models overlapping object appearance. Priors on global appearance and geometry (including shape) are learned from example images.  ...  Multiple Object Appearance When segmenting multiple objects, appearance overlap should be taken into account.  ... 
doi:10.5244/c.20.86 dblp:conf/bmvc/SeiseMRW06 fatcat:zxtq3dvsfzf6dht6yqebs6izbe

Segmentation and Tracking Multiple Objects Under Occlusion From Multiview Video

Qian Zhang, King Ngi Ngan
2011 IEEE Transactions on Image Processing  
Depth and occlusion information recovered from multiple views of the scene is integrated into the object detection, segmentation, and tracking processes.  ...  Multiple cues are employed to segment individual human objects from the group.  ...  With multiple overlapping objects in the scene, some objects may suffer from complete occlusion.  ... 
doi:10.1109/tip.2011.2159228 pmid:21659028 fatcat:inwgaqnmmzemfkfro7xsumkakm

MultiStar: Instance Segmentation of Overlapping Objects with Star-Convex Polygons [article]

Florin C. Walter, Sebastian Damrich, Fred A. Hamprecht
2021 arXiv   pre-print
Instance segmentation of overlapping objects in biomedical images remains a largely unsolved problem.  ...  The key novelty of our method is that we identify pixels at which objects overlap and use this information to improve proposal sampling and to avoid suppressing proposals of truly overlapping objects.  ...  Many applications require segmentation of the full overlapping objects, which means that multiple instance labels need to be assigned to pixels in the object overlap.  ... 
arXiv:2011.13228v2 fatcat:vx7hnq4wknhnjktaumcnkfzbxm

Exploiting Probabilistic Depth-Aware Object Tracking with a Conditional Variational Autoencoder

Wenhui Huang, Jason Gu, Yinchen Guo
2021 IEEE Access  
YouTube-VOS is a large-scale benchmark that supports multiple video object segmentation tasks, which is typical employed for semi-supervised video object segmentation and video instance segmentation.  ...  SiamMask [14] augments the loss of traditional fully convolutional Siamese approaches with a binary segmentation task and can generate class-agnostic object segmentations and rotated bounding boxes.  ... 
doi:10.1109/access.2021.3092886 fatcat:c7qz334pivcdxp44t7rvqw4iri

Predicting Sufficient Annotation Strength for Interactive Foreground Segmentation

Suyog Dutt Jain, Kristen Grauman
2013 2013 IEEE International Conference on Computer Vision  
Our approach learns whether a graph cuts segmentation will succeed if initialized with a given annotation mode, based on the image's visual separability and foreground uncertainty.  ...  Extensive results with real users and three datasets demonstrate the impact.  ...  Intuitively, an easy segmentation will have mostly labels with low uncertainty, and vice versa.  ... 
doi:10.1109/iccv.2013.166 dblp:conf/iccv/JainG13 fatcat:752mekrejfct3fx57hosrearny

Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates [article]

Kira Maag, Matthias Rottmann, Serin Varghese, Fabian Hueger, Peter Schlicht, Hanno Gottschalk
2021 arXiv   pre-print
Instance segmentation with neural networks is an essential task in environment perception.  ...  In our experiments, we further demonstrate the use of the proposed method by replacing the traditional score value from object detection and thereby improving the overall performance of the instance segmentation  ...  The method introduced in [2] works with semantic segments and is based on the overlap of segments in consecutive frames.  ... 
arXiv:2012.07504v2 fatcat:eqlvailfgrddrpn7y7g6yyxtp4

IMAGE SEGMENTATION TECHNIQUES FOR RED BLOOD CELL : ON OVERVIEW

Laghouiter Oussama, M. Mahadi Abdul Jamil, Wan Mahani Hafiza Bt. Wan Mahmud
2015 Jurnal Teknologi  
This paper present some methods applied for blood cell image segmentation and compares previous studies of overlapping cell division method.  ...  The sensitive step in image processing is segmentation of image. Segmentation is first stage in medical image analysis seeded to two categories supervised and unsupervised technique.  ...  Chastine and Diana et al. reported recent algorithms to segment white blood cell (WBC) with overlapping condition [3] .  ... 
doi:10.11113/jt.v77.6230 fatcat:cgvsx3vu5bfyndlm4wzdn3fp2a

Unsupervised Spatio-temporal Latent Feature Clustering for Multiple-object Tracking and Segmentation [article]

Abubakar Siddique, Reza Jalil Mozhdehi, Henry Medeiros
2021 arXiv   pre-print
A solution to that problem would have immediate ramifications in multiple object tracking and segmentation problems.  ...  We extract masks and their corresponding bounding boxes from a pretrained instance segmentation network and train the autoencoders jointly using task-dependent uncertainty weights to generate common latent  ...  Introduction The goal of Multiple Object Tracking and Segmentation (MOTS) algorithms is to establish temporally consistent associations among segmentation masks of multiple objects observed at different  ... 
arXiv:2007.07175v3 fatcat:u7kcljkcafhtrlwdekqemmesge

Active Image Segmentation Propagation

Suyog Dutt Jain, Kristen Grauman
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
Our method yields state-of-the-art accuracy on the ImageNet and MIT Object Discovery datasets, and it focuses human attention more effectively than existing propagation strategies.  ...  We propose a semi-automatic method to obtain foreground object masks for a large set of related images.  ...  requests a human-drawn segmentation, it gets the region proposal with maximum overlap with the ground-truth bounding box.  ... 
doi:10.1109/cvpr.2016.313 dblp:conf/cvpr/JainG16 fatcat:pvexakfz7nh6zew2jps5qmksuq

Tracking of Moving Objects from a Moving Vehicle Using a Scanning Laser Rangefinder

R. MacLachlan, C. Mertz
2006 2006 IEEE Intelligent Transportation Systems Conference  
The capability to use a moving sensor to detect moving objects and predict their future path enables both collision warning systems and autonomous navigation.  ...  This paper describes a system that combines linear feature extraction, tracking and a motion evaluator to accurately estimate motion of vehicles and pedestrians with a low rate of false motion reports.  ...  Multiple Scanners The tracker can process input from multiple scanners, allowing 360° coverage of the vehicle surroundings. This is done by segmenting and associating each individual scan separately.  ... 
doi:10.1109/itsc.2006.1706758 dblp:conf/itsc/MacLachlanM06 fatcat:ujmtoa434zdlzgz2sqckckipvq

Matching tracking sequences across widely separated cameras

Yinghao Cai, Kaiqi Huang, Tieniu Tan
2008 2008 15th IEEE International Conference on Image Processing  
Unlike snapshot-based appearance matching which matches objects by a single image, we focus on sequence matching to alleviate the uncertainties brought by segmentation errors and partial occlusions.  ...  By incorporating multiple snapshots of the same object, the influence of the variation is alleviated.  ...  and the CASIA Innovation Fund for Young Scientists.  ... 
doi:10.1109/icip.2008.4711867 dblp:conf/icip/CaiHT08 fatcat:b3trdob5wvbqbn2h7fg6rnhnn4

Precision of manual two-dimensional segmentations of lung and liver metastases and its impact on tumour response assessment using RECIST 1.1

F. H. Cornelis, M. Martin, O. Saut, X. Buy, M. Kind, J. Palussiere, T. Colin
2017 European Radiology Experimental  
Acknowledgements This study has been carried out within the frame of the LABEX TRAIL, ANR-10-LABX-0057 with financial support from the French State, managed by the French National Research Agency (ANR)  ...  No overlap of 95% CIs was observed in the lung (Figs. 3a, b and 4a, b) . In the liver, the 95% CIs of tumour diameter and area overlapped with the 95% CIs of limits of PD and PR (Figs. 3 and 4) .  ...  In the lung, uncertainty decreased as diameter of segmented tumour increased In the liver, uncertainty increased as diameter of segmented tumour increased The accuracy of manual segmentation is not by  ... 
doi:10.1186/s41747-017-0015-4 pmid:29708185 pmcid:PMC5909353 fatcat:rhnwnrxt4fcafiutwb6qtivmam

Human appearance matching across multiple non-overlapping cameras

Yinghao Cai, Kaiqi Huang, Tieniu Tan
2008 Pattern Recognition (ICPR), Proceedings of the International Conference on  
In this paper, we present a new solution to the problem of appearance matching across multiple nonoverlapping cameras.  ...  Objects of interest, pedestrians are represented by a set of region signatures centered at points sampled from edges.  ...  and the CASIA Innovation Fund for Young Scientists.  ... 
doi:10.1109/icpr.2008.4761704 dblp:conf/icpr/CaiHT08 fatcat:n6cygcur3zgarmh2uc7yslvv7m

Adaptive Online Performance Evaluation of Video Trackers

J. C. SanMiguel, A. Cavallaro, J. M. Martinez
2012 IEEE Transactions on Image Processing  
Moreover, a common tracking error is due to occlusion with an object whose appearance is very different from that of the target and therefore tracker recovery was successful in most cases.  ...  A key novelty of the proposed framework is the capability of evaluating video trackers with multiple failures and recoveries over long sequences.  ... 
doi:10.1109/tip.2011.2182520 pmid:22231176 fatcat:4kemquy2g5eifglxjnu23ij2fi

Multispectral Object Segmentation and Retrieval in Surveillance Video

C. O Conaire, N. E. O'Connor, E. Cooke, A. F. Smeaton
2006 2006 International Conference on Image Processing  
Segmentation is performed by a dynamic vision system that fuses information from thermal infrared video with standard CCTV video in order to detect and track objects.  ...  The Transferable Belief Model [1] is used to combine these sources of information and segment objects. Extracted objects are subsequently tracked using adaptive thermo-visual appearance models.  ...  Feature Extraction Given a segmented and tracked object, it is possible to extract useful features for each frame.  ... 
doi:10.1109/icip.2006.312905 dblp:conf/icip/ConaireOCS06 fatcat:3axx7hj2ibh7dmzbc4acb7xvle
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