Refactor: done phase 4

REFACTOR_PLAN.md

@@ -238,32 +238,42 @@ core/
 - ✅ **Production Ready**: Stable concurrent streaming from multiple camera sources
 - ✅ **Dependencies**: Added opencv-python, numpy, and requests to requirements.txt
 
-## 📋 Phase 4: Vehicle Tracking System
+## ✅ Phase 4: Vehicle Tracking System - COMPLETED
 
 ### 4.1 Tracking Module (`core/tracking/`)
-- [ ] **Create `tracker.py`** - Vehicle tracking implementation
-  - [ ] Implement continuous tracking with `front_rear_detection_v1.pt`
-  - [ ] Add vehicle identification and persistence
-  - [ ] Implement tracking state management
-  - [ ] Add bounding box tracking and motion analysis
+- ✅ **Create `tracker.py`** - Vehicle tracking implementation
+  - ✅ Implement continuous tracking with configurable model (front_rear_detection_v1.pt)
+  - ✅ Add vehicle identification and persistence with TrackedVehicle dataclass
+  - ✅ Implement tracking state management with thread-safe operations
+  - ✅ Add bounding box tracking and motion analysis with position history
 
-- [ ] **Create `validator.py`** - Stable car validation
-  - [ ] Implement stable car detection algorithm
-  - [ ] Add passing-by vs. fueling car differentiation
-  - [ ] Implement validation thresholds and timing
-  - [ ] Add confidence scoring for validation decisions
+- ✅ **Create `validator.py`** - Stable car validation
+  - ✅ Implement stable car detection algorithm with multiple validation criteria
+  - ✅ Add passing-by vs. fueling car differentiation using velocity and position analysis
+  - ✅ Implement validation thresholds and timing with configurable parameters
+  - ✅ Add confidence scoring for validation decisions with state history
 
-- [ ] **Create `integration.py`** - Tracking-pipeline integration
-  - [ ] Connect tracking system with main pipeline
-  - [ ] Handle tracking state transitions
-  - [ ] Implement post-session tracking validation
-  - [ ] Add same-car validation after sessionId cleared
+- ✅ **Create `integration.py`** - Tracking-pipeline integration
+  - ✅ Connect tracking system with main pipeline through TrackingPipelineIntegration
+  - ✅ Handle tracking state transitions and session management
+  - ✅ Implement post-session tracking validation with cooldown periods
+  - ✅ Add same-car validation after sessionId cleared with 30-second cooldown
 
 ### 4.2 Testing Phase 4
-- [ ] Test continuous vehicle tracking functionality
-- [ ] Test stable car validation logic
-- [ ] Test integration with existing pipeline
-- [ ] Verify tracking performance and accuracy
+- ✅ Test continuous vehicle tracking functionality
+- ✅ Test stable car validation logic
+- ✅ Test integration with existing pipeline
+- ✅ Verify tracking performance and accuracy
+
+### 4.3 Phase 4 Results
+- ✅ **VehicleTracker**: Complete tracking implementation with YOLO tracking integration, position history, and stability calculations
+- ✅ **StableCarValidator**: Sophisticated validation logic using velocity, position variance, and state consistency
+- ✅ **TrackingPipelineIntegration**: Full integration with pipeline system including session management and async processing
+- ✅ **StreamManager Integration**: Updated streaming manager to process tracking on every frame with proper threading
+- ✅ **Thread-Safe Operations**: All tracking operations are thread-safe with proper locking mechanisms
+- ✅ **Configurable Parameters**: All tracking parameters are configurable through pipeline.json
+- ✅ **Session Management**: Complete session lifecycle management with post-fueling validation
+- ✅ **Statistics and Monitoring**: Comprehensive statistics collection for tracking performance
 
 ## 📋 Phase 5: Detection Pipeline System