Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count.
Xutong MaJiwei YanHao ZhangJun YanJian ZhangPublished in: ASE (2023)
Keyphrases
- object tracking
- deformable objects
- object position
- multiple objects
- target object
- articulated objects
- moving objects
- detecting objects
- partially occluded
- partial occlusion
- kalman filter
- tracking framework
- d objects
- object location
- particle filter
- tracking objects
- camera views
- programming tool
- complex objects
- object region
- error detection
- source code
- real time
- open source software
- particle filtering
- cluttered background
- mean shift
- visual tracking
- rigid objects
- object detection and tracking
- occlusion reasoning
- object model
- video surveillance
- memory requirements
- lighting conditions
- open source
- error accumulation
- temporal continuity
- video sequences
- object motion
- object appearance
- bounding box
- programming language
- data objects
- appearance model
- software development